Method and apparatus for correcting unadjusted threshold arrays for halftoning by use of transfer function tables

ABSTRACT

A printer that stores a minimal number of unadjusted stochastic threshold arrays in non-volatile memory, in which the unadjusted threshold arrays are used to generate adjusted threshold arrays at run time by use of Transfer Function Tables (TFT&#39;s). The unadjusted array for a particular color is stored in the printer&#39;s ROM and preferably is stored in a packed configuration to save memory space. The TFT&#39;s are used to convert the unadjusted threshold data into adjusted threshold data for each color and type of print media. In a preferred embodiment, the unadjusted threshold array comprises a 128 row by 128 column sized array, and each element of this array comprises a 10-bit number. When the TFT is applied to this unadjusted array, the resulting numeric values for the adjusted array elements are produced as 8-bit numeric values. The greater precision in the originating unadjusted array provides more perceptual levels of intensity (i.e., color brightness), which is particularly important at the lighter shades of each color. The adjusted threshold arrays add only the number of dots per gray level (i.e., per differential threshold array level) that are required to provide a printer response that very nearly approximates the human eye perceptual differential response of intensity.

TECHNICAL FIELD

The present invention relates generally to image forming equipment and is particularly directed to printers of the type which halftone color or monochrome images. The invention is specifically disclosed as a printer that provides a 10-bit unadjusted stochastic threshold array, and applies a Transfer Function Table at run time to the unadjusted array to derive an 8-bit adjusted threshold array, thereby improving perceptual printer response while saving memory space.

BACKGROUND OF THE INVENTION

Threshold arrays have been used for years to accomplish halftoning for image forming equipment, such as printers. Modern printers generally use a threshold array in a tiling manner to halftone a particular square or rectangular portion of an image bitmap that is to be printed, and then move the threshold array to the next position as if placing a new tile over the bitmap in an adjacent location. Video displays also can operate using tiled threshold arrays. Threshold arrays include array elements that have numeric values that range from the lightest gray scale shade to the darkest gray scale shade. As the light intensity (or a particular color intensity) increases, the more pixels that will be illuminated in a display device such as a liquid crystal display, or the fewer number of dots that will be printed in the case of a printer. This is accomplished by comparing the actual pixel intensity values against the array element numeric values, and for example, all dots will be printed for threshold levels at array element locations that have a numeric value less than the dot intensities according to the input image information.

The numeric values of the array elements for threshold arrays in conventional printers are normally integer values that define a plurality of gray levels, and the most typical range of numeric values is from 1 through 255, which are represented by 8-bit binary numbers. Since 8-bit linear or unadjusted threshold arrays produce printed responses that typically do not match the desired linear human perceptual response, it has been common for most printers to provide adjusted (or corrected) threshold arrays for each color that can be printed by that particular print engine. In color printers, for example, this implies that there would be a minimum of three different adjusted threshold arrays for the “ordinary” colors cyan, magenta, and yellow, and further, many color printers also provide black ink, thereby requiring a fourth adjusted threshold array. (Some printers may provide a single threshold array to be used for all colors, but the visual results are not pleasing.) Such adjusted threshold arrays may have array elements of integer numeric values, or to achieve greater precision, the numeric values could each be represented by a floating point number. Floating point values will require, of course, much more storage space in the memory system of a printer than the use of integer values. One main reason that 8-bit integer values are typically used for the gray level representations is that standard memory devices provide “chunks” of memory in bytes, which each comprise a set of 8 bits.

Early printers may have used unadjusted threshold arrays to produce their final printed outputs, however, such printers usually lose tone levels, as well as exhibit crude at best approximations to the desired perceptual tone levels. While some print engines may produce reasonable perceptual responses by use of unadjusted threshold arrays, that is not the general case, and adjusted threshold arrays are much more common.

To develop a linearized halftone screen, it is common to start with a grid of equal proportions of the numbers between one (1) and the maximum value, and then print squares representing each of the tone levels. The printed squares can be then measured with respect to the parameter that is desired to be linearized. The series of measured values can then be assembled and analyzed to form an adjusted (or corrected) halftone screen or threshold array that is linear, i.e., having a response that is linear with respect to human visual perception. The new screen or array is formed for a given paper type, color plane, printing mechanism, etc., and usually has been stored in ROM to be used when printing.

The maximum value of the equal proportions used in generating the unadjusted threshold array may not be the same as the maximum tone level. However, the maximum values of the adjusted screen or threshold array and the tone level must be the same. It very rarely occurs that using an unadjusted screen yields a set of equally visually spaced discernible intensity levels, which is the property of a “perfect” halftone screen. Thus, it is necessary to “correct” (or adjust) this screen.

In correcting the screen (or threshold array), the first thing to be achieved is determining a set of distinct intensity levels, as many as the number of tone levels (i.e., gray scale levels in many cases). These intensity levels must be analyzed and modified so that they are as visually distinct as possible. This usually is done by linearizing the screens in CIE L* space. Historically, correction (or adjustment) of the screens or threshold arrays has been done using one of two different methods. The first method is referred to as the “array mapping” method, which stores a one-dimensional array that maps each of the possible values in the uncorrected (or unadjusted) screen or threshold array to the appropriate value in the corrected (or adjusted) screen or threshold array. Each of the values in the unadjusted screen or threshold array is used as an index to the array map, and the adjusted screen or threshold array is formed therefrom. This method saves memory space, but can be restrictive concerning the number of dots that must be placed on the page for different tone levels. For example, if the uncorrected (or unadjusted) screen or array has dimensions of 128×128, and if there are 256 tone levels, each tone level must contain 64 more dots than the previous level, assuming that the unadjusted screen or array contains equal proportions of each value (which must be true if it is to be used as a base to transition to adjusted (or corrected) arrays).

Since being restricted to adding a fixed number of dots at each level reduces the number of distinct intensity levels, accuracy will suffer. This accuracy problem can be alleviated by increasing the range of values in the unadjusted screen or array until the maximum number of unique levels is obtained. Unfortunately, this also increases the size of both the one-dimensional arrays and the unadjusted screens, which are both stored in the printer when using the array mapping method. The size of the one-dimensional arrays increases proportionally with the bit size of the uncorrected (or unadjusted) screens or threshold arrays.

The second historical correcting method is called the “complete storage” method. This performs the complete correction of the threshold arrays offline, and all of the adjusted (or corrected) threshold arrays are stored in the ROM of the printer. No correction takes place at run time. This method requires a large amount of memory space; however, its advantage is that the adjusted (or corrected) threshold arrays can be manipulated as necessary to obtain the greatest number of visually discernible intensity levels, since all correction is done offline (i.e., at the factory). Increase of accuracy does not mean an increase of the memory space required for storage. Nevertheless, the memory storage space is quite large for any threshold arrays of meaningful precision.

In printers that provide adjusted threshold arrays, a separate transfer function is typically determined for each color that can be printed, and additionally, for each type of print media that will be printed on. The benefits of using adjusted threshold arrays include assuring that there will be 256 unique tone levels (e.g., for 8-bit integer gray levels), and further, to produce tone levels as close as possible to each desired perceptual level. However, a separate array must be generated for each combination of color and type of paper, and therefore, a large amount of memory is required to store each of the separate, adjusted threshold arrays. More detailed examples of the memory requirements are provided hereinbelow.

Since threshold arrays provide an extremely fast way to halftone an image, various types of halftoning techniques have been developed that all use threshold arrays, including cluster-dot ordered dithering (known as “classical” screening), dispersed-dot ordered dithering (known as “Bayer” screening), dispersed-dot unordered dithering (known as stochastic screening), or another form of stochastic screening, using cluster-dot unordered dithering. For printers that must quickly process image data for an incoming print job, this extremely fast method using threshold arrays so far seems to be the optimum method to halftone various types of images. It would be very beneficial to further streamline the process of providing corrected threshold arrays, especially when that process can also save memory space within the printer's memory circuits.

SUMMARY OF THE INVENTION

Accordingly, it is a primary advantage of the present invention to provide an image forming apparatus such as a printer that stores a minimum number of threshold arrays in non-volatile memory, and at run time creates adjusted threshold arrays to meet the precise print job requirements, such as for the appropriate colors and appropriate types of print media.

It is another advantage of the present invention to provide an image forming apparatus such as a printer that stores a minimal number of unadjusted threshold arrays consisting of numeric elements that have a greater precision than the numeric elements of adjusted threshold arrays that are derived at run time, in which, however, the adjusted threshold arrays benefit from the greater precision of the unadjusted arrays to more nearly match the printer's response to the human visual perceptual levels.

It is yet another advantage of the present invention to provide an image forming apparatus such as a printer that stores a minimum number of unadjusted threshold arrays along with a set of Transfer Function Tables that can quickly produce a set of adjusted threshold arrays that are minimal in number to reduce memory requirements, and further that are produced for the specific print job requirements, such as the appropriate colors to be printed as well as the type of print media to be printed upon.

It is still a further advantage of the present invention to provide an image forming apparatus such as a printer that stores a minimal number of unadjusted threshold arrays in a packed memory configuration to minimize the amount of memory space required in a non-volatile memory circuit, and to provide an unpacking routine that quickly re-configures the unadjusted threshold array data in a format that allows quick access and application of a set of Transfer Function Tables to derive a set of adjusted threshold arrays to be stored in the printer's RAM circuit.

It is still another advantage of the present invention to provide an image forming apparatus such as a printer having a minimal number of unadjusted threshold arrays stored in a printer's non-volatile memory circuit in a packed data format to minimize the amount of space required in the printer's ROM storage circuit, and to provide an unpacking and transfer function application routine that quickly unpacks the unadjusted threshold array data and applies a Transfer Function Table that generates a set of adjusted threshold arrays at run time, in which these adjusted threshold arrays are generated for the precise print job requirements, such as appropriate colors and type of print media to be printed upon.

It is yet a further advantage of the present invention to provide a set of packed data stochastic threshold arrays that are stored in a printer's non-volatile memory circuit, in which these threshold arrays comprise array elements having numeric values of a greater precision than the precision of numeric elements for later derived adjusted threshold arrays that are generated at run time by the printer after application of a set of Transfer Function Tables that convert the unadjusted threshold arrays into adjusted threshold arrays.

Additional advantages and other novel features of the invention will be set forth in part in the description that follows and in part will become apparent to those skilled in the art upon examination of the following or may be learned with the practice of the invention.

To achieve the foregoing and other advantages, and in accordance with one aspect of the present invention, an improved printer is provided that stores a minimal number of unadjusted stochastic threshold arrays in non-volatile memory, in which a single stochastic threshold array is provided per ordinary color of the printer. For example, if the printer is a black and white printer only, then only a single stochastic threshold array would be required. This single unadjusted array is used to determine the printer's light intensity printed response, which will not likely provide an ideal target response as compared to the perceptual intensity levels of the human eye. Accordingly, the uncorrected threshold array needs to be adjusted before the array is used to halftone image data in the form of a print job.

The unadjusted array for a particular color is stored in the printer's ROM (Read Only Memory) and preferably is stored in a packed configuration to save memory space. A set of Transfer Function Tables (TFT's) also are provided for the various types of print media that can be expected for use with a particular printer, as well as for various combinations of ordinary colors and specialized colors. For example, if the uncorrected threshold array represents the color magenta, and if the print media type is “plain paper,” and further if the type of printing that is to be accomplished is to use the “ordinary” magenta shading, then a single Transfer Function Table is applied to the unadjusted threshold array, which produces a single corrected threshold array that will be the target array for halftoning the color magenta when printing this particular print job. On the other hand, if a “diluted” magenta color ink is to be utilized (for example, if a color “photo cartridge” is used in a particular style of ink jet color printer), then a different TFT will be applied to the unadjusted threshold array to produce a different adjusted threshold array (i.e., for diluted magenta ink) that will finally be used at run time to halftone this particular print job. This is just one example of the various combinations of color shades and print media types that can be utilized with a modern color printer.

The mere use of unadjusted threshold arrays will typically produce printed shades that are too dark as compared to the incremental shade differences as perceived by the human eye. The Transfer Function Tables are used to convert the unadjusted threshold data into adjusted threshold data for each color and type of print media. The TFT that is to be applied essentially acts as a look-up table in which the original numeric value of a particular array element in the unadjusted threshold array is found, and a different numeric value is then substituted therefor. In short, for every array element position that the original numeric value appeared, the substituted numeric value is then placed in the same row and column position of the derived, adjusted threshold array. This occurs very quickly at run time for each print job received by the printer that requires halftoning.

In the preferred mode of the present invention, the unadjusted threshold array comprises a 128 row by 128 column sized array, and each element of this array comprises a 10-bit number having a precision of one part in 1024. When the TFT is applied to this unadjusted array, the resulting numeric values for the adjusted array elements are produced as 8-bit numeric values, which provides a somewhat lower precision of one part in 256. This greater precision in the originating unadjusted array provides more perceptual levels of intensity (i.e., color brightness), which is particularly important at the lighter shades of each color. This greater number of possible printed gray levels by using the 10-bit numeric data is used to advantage, and the adjusted threshold arrays derived therefrom will add only the number of dots per gray level (i.e., per differential threshold array level) that are required to provide a printer response that very nearly approximates the human eye perceptual differential response of intensity. In essence, the 8-bit adjusted threshold arrays used in printing the colors effectively have the precision of 10-bit data.

Since most modem microprocessor and memory circuits are based upon 8-bit bytes, use of 10-bit data normally requires a 2-byte data word for storage in the memory circuit. Such 2-byte data words are easily accessed for each individual 10-bit data numeric value. However, in the preferred embodiment of the present invention, the unadjusted threshold arrays are stored in a packed data format, such that contiguous memory locations are used to store each 10-bit numeric value with no empty bits spaced therebetween. This saves over 35% of the memory space in the printer's non-volatile memory required for storing the unadjusted threshold arrays. Data compression techniques could alternatively be used to save memory space for the unadjusted threshold array.

At run time, it is preferred to unpack this 10-bit data for the unadjusted threshold arrays by removing each 10-bit numeric value from the packed memory locations and placing it into a different 2-byte set of memory locations, which then makes it very easy to access this 10-bit data value merely by scrolling through the various memory locations. The appropriate Transfer Function Table is then applied to each unadjusted threshold array, and the output of this TFT application is an 8-bit numeric value for each array element in the derived adjusted threshold array that will be used for printing that particular color/media combination. Since the adjusted threshold array uses 8-bit numeric data, this will perfectly correspond to a single byte of memory space, thereby most efficiently packing this adjusted array data.

It is further preferred to unpack each array element from the unadjusted threshold array and then apply the appropriate Transfer Function Table for that particular numeric value for the array element position in question, all in a single operation for each of these array row and column elements, and then have the converted data value stored in the appropriate row and column elements of the resulting adjusted threshold array. This is a more efficient use of the printer's processing time, and a routine is provided hereinbelow to describe this procedure in more detail.

The principles of the present invention can be applied to any type of unadjusted threshold arrays, regardless of how they are derived (e.g., stochastic, dot-cluster, etc.). Moreover, the present invention will produce a memory savings in the printer regardless of the data size of the unadjusted threshold arrays and the resulting adjusted threshold arrays (i.e., for adjusted arrays having any “useful” precision—not necessarily for 2-bit or 3-bit data) by use of the Transfer Function Tables as described hereinbelow. Finally, the present invention can be used to advantage regardless of whether or not the data is packed or unpacked, since both a memory storage space savings is exhibited, as well as an increase in efficiency by using less processing time to derive the adjusted threshold arrays at run time, as compared to other methodologies. Finally, the present invention can be used to advantage to provide corrected threshold arrays regardless of the shape of the response curves of any of the colors when utilizing a particular print engine's response curve for its unadjusted threshold array data.

It will be understood that the principles of the present invention not only apply to printers, but also apply equally well to other types of image forming apparatuses including copiers and video displays that use halftoning techniques. Of course, many video monitors do not require halftoning, since they can be designed to directly apply the correct intensity of the individual primary colors for each pixel. However, certain types of video displays may well require halftoning for a correct or pleasing visual appearance of images. Such video displays include liquid crystal displays (LCD's) and light emitting diode (LED) displays. Moreover, even some cathode ray tube (CRT) displays may use halftoning, especially for older such CRT's.

Still other advantages of the present invention will become apparent to those skilled in this art from the following description and drawings wherein there is described and shown a preferred embodiment of this invention in one of the best modes contemplated for carrying out the invention. As will be realized, the invention is capable of other different embodiments, and its several details are capable of modification in various, obvious aspects all without departing from the invention. Accordingly, the drawings and descriptions will be regarded as illustrative in nature and not as restrictive.

BRIEF DESCRIPTION OF THE DRAWINGS

The accompanying drawings incorporated in and forming a part of the specification illustrate several aspects of the present invention, and together with the description and claims serve to explain the principles of the invention. In the drawings:

FIG. 1 is a block diagram of the major components of a printer, as constructed according to the principles of the present invention.

FIG. 2 is a graph illustrating the printer response for a single color showing actual darkness versus gray level, as well as the ideal target response.

FIG. 3 is a graph illustrating an actual printer response for printing on three different types of paper, showing print darkness versus gray level, as well as their ideal target response for those three paper types.

FIG. 4 is a flow chart depicting initial set-up steps for determining the printer response for each color, then generating a Transfer Function Table for each color that will be used to derive an adjusted threshold array used in halftoning, as according to the principles of the present invention.

FIG. 5 is a flow chart depicting the steps for packing data into a very tight memory structure, as according to the present invention.

FIG. 6 is a flow chart depicting the steps for unpacking data from a very tight memory structure, as according to the present invention.

FIG. 7 is a flow chart illustrating the steps for applying the Transfer Function Table as according to the methodology of the present invention.

FIG. 8 is a flow chart illustrating the steps for both unpacking the corrected array data and applying the Transfer Function Table in a single step for each value of the adjusted array, as according to the principles of the present invention.

FIG. 9 is a graph illustrating a histogram of threshold values versus the number of occurrences in a 32×32 array that was corrected from an 8-bit threshold array, as according to the present invention.

FIG. 10 is a graph illustrating a histogram of threshold values versus the number of occurrences in a 32×32 array that was corrected from a 10-bit threshold array, as according to the principles of the present invention.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENT

Reference will now be made in detail to the present preferred embodiment of the invention, an example of which is illustrated in the accompanying drawings, wherein like numerals indicate the same elements throughout the views.

Referring now to the drawings, FIG. 1 shows a hardware block diagram of a laser printer generally designated by the reference numeral 10. Laser printer 10 will preferably contain certain relatively standard components, such as a DC power supply 12 which may have multiple outputs of different voltage levels, a microprocessor 14 having address lines, data lines, and control and/or interrupt lines, Read Only Memory (ROM) 16, and Random Access Memory (RAM) 15, which is divided by software operations into several portions for performing several different functions.

Laser printer 10 also contains at least one input port, or in many cases several types of input ports, as designated by the reference numeral 18. Each of these ports would be connected to a corresponding input buffer, generally designated by the reference numeral 22 on FIG. 1. Each port 18 would typically be connected to an output port of either a personal computer (PC) or a workstation (WS) (designated on FIG. 1 as an “input device” 24) that would contain a software program such as a word processor or a graphics package or computer aided drawing package, or to a network that could be accessed by such a PC or WS. Laser printer 10 preferably will also contain an Application Specific Integrated Circuit (ASIC) 20, which typically contains a large number of programmable logic circuits.

Once text or graphical data has been received by input buffer 22, it is commonly communicated to one or more interpreters designated by the reference numeral 28. A common interpreter is PostScript™, which is an industry standard used by many laser printers. To speed up the process of rasterization, a font pool and typically also a font cache are stored in memory within most laser printers, and these font memories are designated by the reference numeral 32, 33, 50 and 52 on FIG. 1. Such font pools and caches supply bitmap patterns for common characters so that a graphics engine 30 can easily translate each such character into a bitmap using a minimal elapsed time.

Once the data has been rasterized, it is directed by a page queuing system 34 into a page buffer, which is a portion of RAM designated by the reference numeral 35. In a typical laser printer, an entire page of rasterized data is temporarily stored by the page queuing system 34 in the page buffer 35, although some of the more modern laser printers do not buffer an entire page's worth of data at one time, thereby managing to operate with a much smaller amount of RAM in a “partial page buffer.” The data within the page buffer 35 is communicated in real time to a print engine designated by the reference numeral 36. Print engine 36 includes a laser light source within its printhead (not shown), and its output 40 is the physical printing onto a piece of paper, which is the final print output from laser printer 10.

It will be understood that the address, data, and control lines are typically grouped in buses, which are electrically conductive pathways that are physically communicated in parallel (sometimes also multiplexed) around the various electronic components within laser printer 10. For example, the address and data buses are typically sent to all ROM and RAM integrated circuits, and the control lines or interrupt lines are typically directed to all input or output integrated circuits that act as buffers. For ease of illustrating the present invention, the various busses used within printer 10 are grouped on FIG. 1 into a single bus pathway, designated by the reference numeral 11.

A portion of the RAM 15 is typically allocated for virtual memory for at least one interpreter, and on FIG. 1 a POSTSCRIPT virtual memory is depicted at the reference numeral 31. This virtual memory 31 can, for example, be used for storing PostScript font descriptors within the printer. In addition, particularly important information that is to be retained in printer 10 while unpowered can be stored in a quickly accessible non-volatile memory location called “NVRAM,” which is designated by the reference numeral 26. This non-volatile RAM is most likely (using today's technology) an EEPROM integrated circuit chip.

On FIG. 2, the line 100 represents the ideal target response for a printer that produces an output using gray level halftoning between its darkest possible output (as at the reference numeral 106) and its lightest possible output (as at the reference numeral 104). On FIG. 2, the gray levels are represented by 8-bit binary numbers ranging between zero (0) and 255. In this example, zero (0) represents the lightest gray level shade, while 255 represents the darkest gray level shade.

If the printer mechanism were ideal, then the printer's output (or “response”) would directly follow the line 100 between the lightest L* light intensity level at 104, and the darkest L* light intensity level at 106. FIG. 2 represents actual printer data for an ink jet printer that is printing the color magenta. On “plain paper” the lightest possible shade shows up as an L* value of 94.8 (which is blank paper), while the darkest possible shade is represented as an L* value of 46.1. Since the printer cannot create any darker L* value, there is no point in attempting to correct for values less than L*=46.1 (or above L*=94.8, which is due strictly to the paper brightness).

Since the vast majority of printers do not have an ideal response, it is preferred that their output responses be adjusted or corrected. Using the actual print data depicted along the curve 102, it can be seen that the example printer quickly produces light intensities for the color magenta that are much too dark as compared to the ideal response at line 100. In other words, the printer is simply producing too many dots at each incremental gray level after departing from the lightest possible point on the curve at L*=94.8 (at the reference numeral 104), which of course, is where no dots at all were printed. The curve 102 was generated by increasing the number of dots per gray level at a constant differential number of dots per next increasing gray level. This produces the unadjusted (or uncorrected) gray level response, as exhibited by the curve 102.

Unless some type of correction is applied to the printer's output, the printer's colors will always appear to be too dark with respect to the human eye's perceptual level. This is not only true with the single color magenta, but is also true for other colors on the vast majority of printers. Therefore, not only must the single color magenta be corrected, but all of the other printing primary (or “ordinary”) colors must also be corrected, which typically would include cyan, yellow, and black. Each of these individual colors will have an individual response curve of L* versus gray level, although in the case of the color yellow, the preferred response curve to be analyzed and corrected for would be the b* curve versus gray level. It will be understood that the variables L* and b* refer to the CIELAB industry standard using the L*a*b* color space terminology.

Not only are the response curves for various colors different from one another for a particular printer, but additionally the color response for different types of print media also generate different curves on the L* or b* versus gray level graphs. For example, on FIG. 3 the three different curves, 102, 112, and 122, represent the printer response for the color magenta on three different types of paper. The curve 102 is the same as the curve seen on FIG. 2, and is for “plain paper.” The curve 112 also represents the printer's actual response for the color magenta, however, in this case the print media is “coated paper.” Finally, the curve 122 also represents the printer's actual response for the color magenta, although in this case the print media is “glossy paper.”

As can be seen by viewing FIG. 3, each of these curves 102, 112, and 122 not only has a different shape, but also has different starting and stopping points between the lightest shades at the gray level zero (0) and the darkest shades at the gray level 255. As was seen on FIG. 2, the curve 102 had a lightest end point at 104 and a darkest end point at 106, and the ideal target response was the line 100 between those two points. For the coated paper example, the curve 112 has its lightest shade end point at 114 and its darkest shade end point at 116, and the ideal target response is represented by the line 110 between those two points. Finally, the glossy paper example of curve 122 has its lightest shade end point at 124 and its darkest shade end point at 126, with an ideal target response line 120 between those two points.

The first step in generating the graphical data as seen on FIGS. 2 and 3 for a particular printer according to the present invention is to initially print 256 sets of small squares for each color on a particular type of print media. This is the first step 150 as seen on the flow chart of FIG. 4. These 256 squares are to be printed so that each square represents one of the 8-bit gray levels between the numeric value 0-255. Of course, other numeric values could be used for the gray scale, either of lesser or greater resolution, but 256 shades has become the industry standard. Once these squares are made available (i.e., printed) for each color that can be produced by the printer, each of the squares is then measured by shining a bright light on the square and by analyzing the response of each square. This occurs at a step 152 on FIG. 4. It is preferred that a spectrophotometer be used as the brightness or color intensity measuring device, and a preferred brand of the spectrophotometer is manufactured by GretagMacbeth.

Naturally, the light source used should emit the entire visible spectrum of electromagnetic energy, and preferably would have a substantially equal output energy level across the entire visible spectrum. If lesser expensive light sources are used, their spectrum should be known (or become determined), so any necessary compensation can be made for a non-linear electromagnetic radiation output.

For most of the colors, it would be preferred to measure L* of each of the 256 squares, although for yellow, it is preferred to measure b*. It is also preferred to perform this printing and measuring operation for each type of print media that would normally be expected to be used in the printer. This would include plain paper, glossy paper, and coated paper, as well as transparency material. For certain types of printers, it would also be possible to use a more stiff cardboard media, such as paperboard or Bristol board material.

As discussed hereinabove, the response for each color and each type of print media will very likely not be a linear ideal target response. Instead, the output response of most printers probably will be much more like one of the curves depicted on FIG. 3. One primary reason for this non-linear response is a phenomenon called “dot gain.” As is understood by those skilled in the art of halftoning, a binary output image consists of an array of dots. Conceptually, each dot is a perfect square that is situated at a given location within the array. However, an actual printed dot is typically circular instead of square, and furthermore is usually larger and spreads past the boundaries of the conceptual square dot. Therefore, when an image is printed, it will usually look darker than expected. This is the result of step 150 when 256 sets of squares are printed for each color (and on each type of print media).

When measuring the light intensity of each square at step 152, the range of samples that have been printed will range from 0% intensity (i.e., solid black, or solid magenta as the case may be) to 100% intensity (i.e., solid white). When the actual intensity of these samples is measured, the actual intensity will usually be darker than the requested intensity. The inverse of these measurements defines a transfer function which can be used to characterize the dot gain. The transfer function can be used to map the requested tone level (i.e., the gray scale level) to a different—usually lighter—tone level. This level, when printed with dot gain, will produce a tone level that matches the originally requested level. In this manner, the transfer function can compensate for dot gain.

In the present invention, a threshold array is provided as a fast method to halftone an image. Conceptually, a threshold array comprises a two-dimensional array of thresholds, where each threshold is a numeric value. The threshold array is preferably repeated periodically in a tiling manner to fill an arbitrarily large area (e.g., the page to be printed in the form of a bitmap). If the tiled region is, for example, 1024×1024 number of bits or dots, then a large number of copies of a smaller threshold array would be required to cover this 1024×1024 region such that a 16×16 threshold array (for example) would require 64×64 copies (i.e., 4,096 copies). To render a continuous tone input image, each image pixel is compared to the corresponding threshold at the same location. If the image pixel's value is less than the threshold value, then a dot will be placed at the corresponding location within the bitmap. Otherwise, no dot will be placed at this location.

In the present invention, it is preferable to provide a stochastic threshold array for each color, at a step 154 on FIG. 4. An exemplary stochastic threshold array can be developed using the principles of U.S. Pat. No. 5,696,602, Ser. No. 08/522,010, filed on Aug. 31, 1995, titled “Method for Halftoning Using Stochastic Dithering with Minimum Density Variance,” which is commonly assigned to Lexmark International, Inc., and is hereby incorporated by reference in its entirety. It is preferred to use a different stochastic threshold array for each color, however, it would be possible to use a single stochastic threshold array for all of the colors, although the results would likely not be as pleasing to the human eye.

When compensating for dot gain, two obvious solutions include using a transfer function to adjust the input pixel values, or to use a transfer function to adjust the threshold values. On one hand, if the input pixel values are adjusted, then every pixel that will ever be printed must be adjusted. On the other hand, if threshold values are adjusted a single time before using the threshold array, then the adjusted threshold array may be used to render images without affecting the pixel values of the incoming images. Therefore, it is preferred to perform dot gain adjustment by applying the transfer function to the threshold array itself.

In the present invention, the transfer function is applied by using a “Transfer Function Table” (TFT) to convert the unadjusted threshold data into adjusted threshold data for each color. This occurs at a step 156 on FIG. 4. Moreover, it is preferred to use more precise data in the unadjusted array, such as 10-bit data, and then convert this higher precision data to an 8-bit data byte value for each of the numeric values that are entered into the various locations of the threshold array. Obviously, any size binary number could be used for the threshold data elements, however, 8-bit data is not only typical for microprocessor-based systems and standard memory elements (such as Random Access Memory), but further, there is no need for greater precision with respect to the actual human perceptual levels that can be realistically perceived by the average human being. In general, the human eye can see a perceptual difference of approximately 100 different shades of a given color, and when using 8-bit precision, there are a possible 256 different levels of color intensity or shade that can be reproduced. This is much more than is necessary to create a smooth perceptual transition that can be seen or observed by the human eye.

It will be understood that the 10-bit data that is provided in the stochastic threshold array of step 154 could also be of greater precision, merely by using more bits of data to represent each numeric value in the threshold array. However, excellent results have been produced using 10-bit data, and this should be sufficient for most applications. Of course, a stochastic threshold array using 9-bit data would also provide more precision using the principles of the present invention, at least as compared to a stochastic threshold array that would only have 8-bit data numeric values. The overall beneficial effects of using this 10-bit data for the original stochastic threshold array for each color will be discussed in greater detail hereinbelow.

Once the Transfer Function Table (TFT) has been generated for each color, it is a simple matter to derive an adjusted 8-bit threshold array for each color that is to be used in halftoning, as at a step 158 on FIG. 4. To perform this operation, the initial stochastic threshold array from step 154 is stored in the Read Only Memory portion of the printer, for example, the ROM 16 from FIG. 1. This typically would be under the control of the graphics engine function 30, which as an executable computer program is also stored in ROM. The Transfer Function Table itself would also be stored in ROM 16.

During run time, when it is time to print an incoming print job, the Transfer Function Table is compared to the stochastic threshold array to create the adjusted 8-bit threshold array in RAM 15 of the printer. When run time occurs, the printer will know what type of print media is going to be used, with the default being plain paper. That being the case, the printer will only require four different adjusted threshold arrays, one per ordinary color that is to be printed (i.e., cyan, magenta, yellow, and black). Therefore, in most cases only four different adjusted threshold arrays having 8-bit element values need be generated using the Transfer Function Tables, then stored in RAM. This is a great memory savings in comparison to the prior art printers that had to store the entire set of adjusted threshold arrays for all combinations of colors and types of print media in the ROM of their printer's memories.

It will be understood that the adjusted 8-bit threshold array need not be stored in true random access memory for the invention to be operative. Instead, any sufficiently numerous group of registers could be used instead of RAM, including registers that reside within an ASIC (Application Specific Integrated Circuit). Since ASIC's are constantly being made more flexible and more powerful (i.e., with greater numbers of programmable elements), it may be preferred at some time in the future to use ASIC registers of ASIC 20 to hold the adjusted threshold arrays utilized by the present invention.

A nuance of FIG. 4 not previously discussed is the use of data “packing” and “unpacking,” in which the data values for the stochastic threshold arrays and the Transfer Function Tables are packed into as tight as possible memory locations in the printer's ROM. In many microprocessor-based systems, 10-bit numeric values would each require a 16-bit data word for memory storage. By packing the data according to the step 170 on FIG. 4, the printer can save over 35% of the memory storage space that would normally be used to contain this same amount of data. Of course, the data while in its packed state is less useful and harder to get at, so it is preferred to first unpack that data at a step 180 on FIG. 4 before attempting to use the data at run time. The details of packing and unpacking data are provided in other flow charts, as discussed hereinbelow.

In a preferred system, the printing and measuring steps 150 and 152 are performed “off-line” at the factory, and the stochastic threshold array at step 154 is also provided at the factory. Furthermore, the Transfer Function Tables of step 156 are also derived at the factory based upon the dot gain data from the light measuring step 152. It is preferred that the Transfer Function Tables and the stochastic threshold array elements have their data or numeric values stored in a packed format, as per the step 170, at the factory and stored in the printer's ROM 16.

In the preferred printer, at run time the processing circuit of the printer merely needs to unpack the data at step 180, and then derive the adjusted 8-bit threshold arrays for the colors that are going to be used for a particular type of print media, as per step 158. While this will take a small amount of time, this processing time will be mainly indiscernible to the human user when added to the amount of processing time required to otherwise prepare the printer at run time for each new incoming print job.

The packing step 170 of FIG. 4 is depicted in greater detail in a flow chart on FIG. 5. Starting at a step 200, some variables are set to initialized values, including a variable “bit_buffer_size” that is set to 32, and a variable “bits_requested” is set to the value 10. At a step 202, a variable “bit_buffer” is set to 0, and a variable “bits_in_buffer” is also set to 0.

By use of these initial variable values, it is assumed that the array elements are 10-bit values, although different element sizes could be used merely by changing the size of the “bits-requested” variable. At the same time, the “bit_buffer_size” variable is microprocessor dependent, and should be set to the most efficient data size for the microprocessor that will be used to pack and unpack the data. Today, many microprocessors contain 32-bit wide registers.

The main input for this packing routine 170 is a two-dimensional 10-bit threshold array, named “inarray[r][c],” in which the variable “r” refers to the element at row “r” and the variable “c” refers to the element at column “c” of this array. The output of this routine 170 is a one-dimensional stream of data containing the packed contents of the input array.

At a step 204, the “row” variable “r” is set to its initial value of zero (0). At a decision step 206, the value of “r” is compared to see if it is less than the numeric value of a variable named “rows” that, in the preferred embodiment, is set equal to the number 128. The value for a variable called “cols” is also preferably set to 128, since the preferred stochastic threshold array has a size that is 128×128 rows and columns.

The value for the variable “r” will be incremented throughout this routine 170, and initially the result at the decision step 206 will always be YES until the routine has incremented the value for “r” up to the number 128. During the first pass, the logic flow is directed to a decision step 208 that asks a similar question regarding the value for “c” with respect to the numeric value of the variable “cols.” Again, the initial passes will always result in a YES answer, thereby directing the logic flow to a step 210.

At step 210, the variable “bits_in_buffer” is set equal to itself plus the value of the variable “bits_requested.” Since the value of the variable “bits_requested” was set to ten (10), this step 210 will always result in a new value for the variable “bits_in_buffer” being increased by the amount of ten.

A decision step 212 now determines whether or not the variable “bits_in_buffer” is greater than or equal to the variable “bit_buffer_size.” With the values set for the “bit_buffer_size” of thirty-two and the “bits_requested” value of ten, the first three passes into this decision step 212 will result in a NO answer, thereby directing logic flow to a step 214. At step 214, the variable “bit_buffer” is set equal to a numeric value that is equal to the variable “inarray[r][c]” that is logically OR'ed to the current value of the variable “bit_buffer” that is shifted left by the number of bits that is currently the numeric value of the variable “bits_requested.” After this occurs, the logic flow is directed to a step 216 where the value for the variable “c” is incremented by one.

The logic flow now reaches a point on the flow chart of FIG. 5 referred to as 222, and is designated “A,” which directs the logic flow back to a point 224 on FIG. 5, in which the next operation is the decision step 208. Until all of the columns in the array have been completed, the answer will again be YES at decision step 208, and the logic flow is directed to the step 210. After that occurs, the decision step 212 is reached, and for the next two passes, the step 214 is reached that affects the value of the variable “bit_buffer.” Each time that occurs, the value of “c” is incremented at step 216, and the logic flow is directed back to the decision step 208 via the letter “A.”

The fourth time that decision step 212 is reached in this example, the result will be YES, and a step 220 will be reached. In step 220, the variable “bits_in_buffer” is set equal to itself minus the variable “bit_buffer_size” (which has a value of 32). Next a variable called “outbits” is set equal to a rather complex mathematical value. “Outbits” is the one-dimensional stream of data that is the output of this packing routine 170. In step 220, “outbits” is set equal to the variable “bit_buffer” after it has been shifted left by the number of bits equal to the quantity (“bits_requested” minus “bits_in_buffer”), and this value is logically OR'ed to the quantity “inarray[r][c]” that is shifted right by the number of bits equal to the value of the variable “bits_in_buffer.”

After this occurs, the number of bits equal to the variable “bits_in_buffer” is written from the variable “outbits” to the packed array in memory. The variable “bit_buffer” is now set equal to the current element of “inarray[r][c],” which is the last function that occurs within step 220. After that occurs, the variable “c” is incremented at step 216, and the logic flow is directed back via “A” to the decision step 208.

Eventually, all of the 128 columns will have been filled for the first row of the array, and the result at decision step 208 will become NO. When that occurs, a step 230 sets the value of “c” back to zero (0), and the value of “r” is incremented by one. After that occurs, the logic flow is directed back to decision step 206 that determines if the value of “r” is less than the variable rows, which will not occur until all of the rows of the array have been operated upon. When only the second row of the array has been reached, the logic flow is directed back through the YES result to the decision step 208, where the columns begin to be operated upon again.

When the logic flow has finally reached the final row, the result at decision step 206 will become NO, and the logic flow will be directed to a decision step 232. At this decision step, it is determined if the variable “bits_in_buffer” is greater than zero (0), and if the answer is NO, then this routine is finished at the step 236. However, in the general case, there will be some left over bits that need to be handled, and the result at decision step 232 will likely be YES. In that circumstance, a step 234 sets the variable “outbits” equal to the value of the variable “bit_buffer” after it is shifted left by the number of bits equal to the quantity “bit_buffer_size” minus “bits_in_buffer.” Once that has been accomplished, the logic flow reaches the return step called “done” at 236, and the packing routine 170 is finally completed.

While data compression could be applied to reduce the amount of memory, it is preferred to use the packing routine as illustrated on FIG. 5 to pack or “squeeze” the numeric elements together within the printer's memory. The unused bits of each 16-bit word are eliminated, so that a single 10-bit element immediately follows the previous 10-bit element. This makes the individual elements more difficult to access later, and an unpacking routine preferably will be used to first re-arrange these 10-bit elements into a more easily addressable set of values in the printer's memory.

In the example of FIG. 5, it was assumed that ten bits per element was needed, while of course, other element sizes could be used instead. Moreover, a variable number of bits per element is also possible, although this would involve additional complexity. One method for accommodating a variable number of bits would be to encode the number of bits per element along with the actual data. Another method would be to synchronize the packing and unpacking routines so as to use the proper number of bits for each consecutive element.

Although packing the array data reduces memory space, the individual array elements are more difficult to access when packed. To allow for more convenient access of the array elements at run time, the data may be unpacked. The routine 180 is illustrated in greater detail in the form of a flow chart on FIG. 6. In this unpacking example, it is assumed that each packed element requires ten bits, although other element sizes may be used instead if desirable. Of course, if an array of elements has been packed using “x” number of bits per element, then the unpacking routine 180 must also unpack assuming that there are “x” bits per element. Otherwise, the results will be nonsense.

As an alternative, a variable number of bits per element is possible, although this would involve additional complexity. One method for accommodating a variable number of bits (as noted above) would be to encode the number of bits per element along with the data itself, whereas another method would be to synchronize the packing and unpacking routines so that they use the proper number of bits for each consecutive element.

In the unpacking routine 180, the input information is a one-dimensional stream of data containing the packed contents of the input array. The output of this routine 180 is an uncorrected, two-dimensional 10-bit threshold array, named “outarray” in this example. The notation “outarray[r][c]” refers to the element at row “r” and column “c” of this array.

The routine starts with a step 250 in which a variable named “bit_buffer_size” is set to the value of 32, which is a convenient standard size of a single element for a microprocessor that utilizes 32-bit registers. Also in step 250, a variable named “bits_requested” is set to the value of ten (10) which, as stated before, means that there are ten bits per array element in the packed data.

Next a step 252 places the value of the variable “bit_buffer_size” into a variable named “bits in_buffer.” This step then reads the next number of bits equal to the value of the “bits_in_buffer” variable from the packed array into a variable named “bit_buffer.”

Now that the main working variables have been initialized, a step 254 sets a variable “r” equal to zero (0), after which a decision step 256 determines whether the value of “r” is less than the value of a variable named “rows” which is set to the value 128, since the preferred array size is 128×128 number of elements in rows and columns. Of course, a different size array could be used, in which case the value for the variable rows would be set to a different number. At this first pass, the result of this decision step 256 will be YES, and the logic flow is directed to another decision step 258.

At decision block 258 the value of the variable “c” is compared to see if it is less than the value of a variable “cols” which represents the number of columns in the array. In this example, the value of the variable “cols” is set to 128. At this first pass, the result will be YES at decision step 258, and the logic flow is directed to a step 260.

At step 260, the variable “unpacked[r][c]” is set equal to the value in the variable “bit_buffer” after it has been shifted right by the number of bits equal to the quantity “bit_buffer_size” minus “bits_requested.” After this occurs, the “bits_in_buffer” variable is set equal to itself minus the value of the variable “bits_requested.”

A decision step 262 now determines whether or not the variable “bits_in_buffer” is less than zero (0). In this example, the first three passes through decision step 262 will result in a NO answer to this comparison, since the “bit_buffer_size” variable was set to 32 and the size of the data elements is 10 bits. In view of this NO result, the logic flow is directed to a step 264 which places in the variable “bit_buffer” the value of itself after it has been shifted left by the number of bits that equals the numeric value currently in the variable “bits requested.”

After this has occurred, a step 266 increments the value of “c,” which means that it is time to move to the next column of data in the array. After that has occurred, the logic flow is directed back to decision step 258, where it is determined whether or not the value of “c” is still less than the value of “cols” (which is set to the value 128). At this second pass through decision step 258, the result will be YES, and step 260 is again executed. This will occur for the first 128 passes through this portion of the flow chart of FIG. 6. Once the logic flow arrives at decision step 262 after the first three passes, the result will become YES upon the fourth pass through this decision step 262. When that occurs, a step 270 will perform several functions.

At step 270, a certain number of bits will be read from the packed array and placed into the variable “bit_buffer.” This number of bits is equal to the variable “bit_buffer_size,” which in this example is equal to 32 bits. After that occurs, the variable “bits_in_buffer” is set equal to itself plus the value of the variable “bit_buffer_size.” After that occurs, the output array variable “unpacked[r][c]” is set equal to itself (at this same row and column position) which is logically OR'ed with the value of the variable “bit_buffer” after it has been shifted right by the number of bits that equal the current numeric value of the variable “bits_in_buffer.” The variable “bit_buffer” is now set equal to itself after it has been shifted left by the number of bits that equals the quantity “bit_buffer_size” minus “bits_in_buffer.”

The value of “c” is now incremented at step 266 and the logic flow is directed back to the decision step 258 for further passes at different columns of the array in this first row. Once all of the columns have been processed, the variable “c” will ultimately reach a value of 128, and at decision step 258 the result will finally become NO. When that occurs, a decision step 280 resets the value of “c” back to zero (0), and the value of the row variable “r” is incremented. After that occurs, decision step 256 is arrived at, which compares the current value of “r” to see if it is less than the value of the variable “rows” (which was earlier set to 128).

For each new value of “r,” all of the columns of the array are processed, basically using an internal DO-loop, and then the value of the row variable “r” is incremented. After all of the columns have been processed for all of the rows, the value of the variable “r” will finally reach 128 at step 280, and decision step 256 will finally have a result equal to NO. When that occurs, this routine 180 is finished and can return, at a step 282 referred to as “Done.”

The end result of routine 180 is to provide an unadjusted 10-bit element size stochastic threshold array having 128 rows and 128 columns. The resulting unadjusted array is unpacked, which means that each 10-bit element is placed in a separate two-byte memory location within the RAM 15 of printer 10, at run time. The Transfer Function Table can now be easily applied to the unadjusted threshold array at this point, using a routine 158 that is depicted in the form of a, flow chart on FIG. 7.

The input to this routine 158 is the unpacked uncorrected threshold array having 10-bit elements that are arranged in two-byte memory locations. The output of this routine is an adjusted (or corrected) threshold array that has elements of 8-bit size, in which each 8-bit element is placed in a single 8-bit byte in the printer's RAM. This all occurs at run time when the printer needs to process an incoming print job.

On FIG. 7 starting at a step 300, the row variable “r” is set equal to zero (0). A decision step 302 then determines whether the current value of “r” is less than the variable named “rows,” which in this example, is set equal to the value of 128 (since there are 128 rows in the threshold array). Naturally, at this first pass the result will be YES at decision step 302.

A decision step 304 now determines whether or not the variable “c” is less than the value for a variable “cols,” which is set equal to 128 (since there are 128 columns in the threshold array). Of course, at this first pass the result will be YES, and the logic flow is directed to a step 306. At step 306, a variable named “corrected_thresh_array[r][c]” is set equal to the Transfer Function Table result, which is a variable named “xfer[unpacked[r][c]].” This “xfer” variable comprises a look-up table, an example of which is provided in TABLE #5, hereinbelow. In more detail, the variable called “unpacked[r][c]” comprises an unadjusted threshold array, an example of which is provided in TABLE #4 (i.e., for a 32×32 threshold array example). The Transfer Function Table provided in TABLE #5 is also a 32×32 array, and is an example of the look-up table that would be used in the step 306. The output adjusted (or corrected) threshold array that is calculated at step 306 preferably is a 128×128 sized array, and an example of such 8-bit adjusted array (as a 32×32 sized array) is provided in TABLE #6, hereinbelow. These example tables provided below will be discussed in greater detail. It will be understood that the preferred size of all the arrays being described herein is 128×128, although any size could be used without departing from the principles of the present invention. The example arrays provided in the TABLES #1-6 herein are of a smaller 32×32 size only for the purposes of illustration.

The unpacking routine 180 and the Transfer Function Table application routine 158 are always executed at run time within the printer 10. From a processing time standpoint, it will likely be much more efficient to both unpack the 10-bit data that makes up the unadjusted threshold array and then apply the Transfer Function Table to that particular row and column of the unadjusted array to create the corresponding adjusted 8-bit array element, all in a single operation. By doing so, one can eliminate the middle step of generating an unpacked 10-bit unadjusted array in RAM in two-byte increments, and instead generate the final 8-bit unadjusted array in elements of RAM that are single byte elements, meaning that (of course) the 8-bit array elements are completely packed within 8-bit bytes of memory locations in RAM. Not only is processing time saved, but also temporary memory allocation space is saved. Such a combined unpacking and Transfer Function Table application routine is described in a flow chart depicted on FIG. 8.

On FIG. 8, a first step 350 initializes two of the variables that were also seen on earlier flow charts on FIGS. 5 and 6. These variables are the “bit_buffer_size,” which is set to a value of 32, and the variable “bits_requested” which is set to a value of ten. The next step is to place the value of the variable “bit_buffer_size” into a variable called “bits_in_buffer,” after which a certain number of bits are read from the packed array and placed into a variable called “bit_buffer.” The number of bits to be read in is equal to the value of the variable “bits_in_buffer.”

The logic flow now arrives at the point where the row and column data is operated on, starting with a step 354 that sets the row variable “r” to zero (0). After that occurs, a decision step 356 determines whether or not the current value of “r” is less than the value of a variable “rows” that was set to 128 in the preferred embodiment, since a threshold array having 128 rows and 128 columns is used.

During this first pass, the result at decision step 356 will be YES, and next a decision step 358 determines whether or not the current value of a variable “c” is less than the value of a variable “cols,” which also has a value of 128 since the preferred embodiment uses a threshold array that has 128 columns. At this first pass, the result at decision step 358 will be YES, thereby directing the logic flow to a step 360.

In step 360, a variable “unpacked_val” is set equal to the “bit_buffer” variable after it has been shifted right by the number of bits equal to the quantity “bit_buffer_size” minus “bits_requested.” The current array element of the output of this combined routine, which is a variable named “corrected_thresh_array[r][c],” is now set equal to the transfer function of the unpacked value, which in this example has the name “xfer[unpacked_val].” As before in the flow chart of FIG. 7, the example 10-bit to 8-bit Transfer Function Table provided in TABLE #5 hereinbelow is exemplary for the transfer function referred to as “xfer” at step 360, i.e., for a 32×32 array (rather than the preferred 128×128 array). Furthermore, the packed data represented by the variable “unpacked_val” is represented as a 32×32 example on TABLE #4 hereinbelow, while the adjusted 8-bit threshold array having the variable name “corrected_thresh_array” is also represented in a 32×32 size array example in TABLE #6, hereinbelow.

The last operation at step 360 is to calculate a new value for the “bits_in_buffer” variable, which is set equal to itself minus the value of the variable “bits_requested.” The logic flow now arrives at a decision step 362, where this “bits_in_buffer” is compared to see if it is less than zero (0). For the first three passes through this flow chart of FIG. 8, the result will be NO, and the logic flow will be directed to a step 364.

At step 364, the variable “bit_buffer” is set equal to itself after it has been shifted left by the number of bits of the value of the “bits_requested” variable. After that occurs, the column is changed by incrementing the variable “c” by one, at a step 366.

The logic flow is now directed back to decision step 358, where the value for c is compared to see if it is less than the value of the variable “cols” (which was earlier set to 128). Since the answer will be YES at this next, second pass, the step 360 will be executed, as well as the decision step 362, ultimately leading to the step 364. This loop will remain intact until the fourth pass through, at which time the result at decision step 362 will change from NO to YES. When that occurs, the logic flow is directed to a step 370.

At step 370, many of the same functions are performed as were executed in the step 270 depicted on FIG. 6. For example, the packed array is inspected and the next pre-determined number of bits are placed into the variable “bit_buffer.” This number of bits is equal to the value of the variable “bit_buffer_size,” which in this example is set to the value of 32. After that occurs, the variable “bits_in_buffer” is set equal to itself plus the value of the variable “bit_buffer_size” (which is equal to 32). A new variable referred to as “temp” is now set to the value of the “bit_buffer” variable after that variable has been shifted right by the number of bits equal to the current value of the “bits_in_buffer” variable.

At this time, the appropriate row and column element of the unpacked array, having the variable name “unpacked[r][c],” is set equal to itself after it has been logically OR'ed to the variable “temp.” Finally, the variable “bit_buffer” is set equal to itself after it has been shifted left by the quantity “bit_buffer_size” minus “bits_in_buffer.” After this occurs, the column element is changed by incrementing the variable “c” at step 366.

This internal “DO-loop” is performed until all 128 columns have been processed, and when that finally occurs, the result at decision step 358 will change from YES to NO. When that occurs, a step 380 will reset the variable “c” back to zero (0), and will change the row position by incrementing the variable “r.” The logic flow is now directed back to the decision step 356 to determine if the value of “r” is now less than the value of “rows” (which is equal to 128). If the logic flow has just arrived to the second row position, then the result at decision step 356 will, of course, be YES, and the logic flow re-enters the internal DO-loop that operates upon the various columns of this array.

When all columns and all rows have finally been processed, the logic flow will leave the step 366 and arrive at the decision step 358, which will then flow to the step 380, thereby incrementing the value of “r” to the point where the result at decision step 356 will be NO. When this occurs, this combined routine will be finished and can return, which is depicted as the step 382 as being “Done.”

It is now appropriate to discuss the various tables that are included below, which will help to emphasize the advantages of the present invention. TABLES #1-3 are exemplary of a non-preferred methodology that takes an unadjusted 8-bit stochastic threshold array and converts it to an adjusted 8-bit threshold array.

TABLE #1 depicts a 32×32 stochastic threshold array that comprises 8-bit values for its individual array elements. There are 256 total possible values for the 8-bit array elements, and there are 1024 possible array locations on this 32×32 array. Since the array is unadjusted, there should be four elements of each value somewhere within this stochastic threshold array. This leads to a linear mathematical result, but very likely will not lead to a linear perceptual result with respect to the lightness versus darkness of each individual incremental change as perceived by the human eye. In other words, this would likely lead to a graph such as the response curve 102 on FIG. 2, which exemplified a magenta color set of data on plain paper.

TABLE #2 represents a Transfer Function Table (TFT) that is used to convert the unadjusted 8-bit values to adjusted 8-bit values. Since there are only 256 possible values (ranging from the values 0-255), this TFT is a much smaller array, being 16×16, thereby providing 256 possible values. It should be noted that the value zero (0) will not actually be found on the threshold array in this example, so in actuality only 255 possible values will be converted (ranging from 1-255).

TABLE #3 is the adjusted 8-bit array that is derived by using the Transfer Function Table of TABLE #2 to convert the unadjusted values of TABLE #1. TABLE #3 has a size of 32×32, which provides a total of 1024 possible element locations. Since this example uses 8-bit precision, there will be a minimum of four elements of any given value somewhere on the rows and columns of this adjusted array. However, it will be understood that some numeric values will have many more than four element locations (since this array is adjusted). At the same time, it will also be understood that some numeric values will not be in the adjusted array of TABLE #3 at all. Such values can be easily found by inspecting TABLE #2. For example, in the top row of TABLE #2, the positions zero (0) through fifteen (15) show values as follows: 0, 1, 4, 7, 10, 13, 17, 20, 23, 26, 29, 32, 35, 38, 41, and 44. All of the numbers missing between those numbers listed in the previous sentence are numeric values that will not appear anywhere on TABLE #3. For example, the numeric values skip from 1 to 4, which means there will be no elements having numeric values for either 2 or 3 in TABLE #3.

TABLE 1 8-bit Unadjusted 32 × 32 Threshold Army 230 71 141 242 80 214 40 199 69 219 118 12 161 49 135 185 96 2 31 129 189 17 163 57 142 109 158 34 170 251 67 216 16 81 231 164 101 216 48 119 227 97 249 14 211 125 51 102 179 90 195 152 36 129 169 76 138 196 26 155 84 185 58 150 231 130 24 238 57 112 254 87 222 12 252 86 128 220 45 113 239 88 7 192 156 42 127 208 10 155 133 108 159 54 178 5 197 145 30 167 217 85 60 224 161 77 180 109 38 232 25 213 73 244 132 62 207 117 39 139 198 98 3 241 64 220 165 64 181 121 154 37 96 184 16 252 104 227 25 129 190 52 149 17 111 206 93 15 230 116 214 70 162 55 172 63 146 248 75 173 103 209 150 33 246 146 53 169 22 240 125 202 5 183 115 40 205 20 236 68 73 187 61 106 208 80 191 109 32 92 220 72 234 95 153 131 50 158 225 20 135 235 2 179 58 152 228 138 49 156 10 189 34 211 85 253 167 87 195 45 157 112 254 14 83 196 101 246 126 62 226 111 183 28 37 249 126 79 223 29 122 203 134 26 167 40 201 163 97 1 140 218 119 160 14 205 141 91 181 41 237 75 215 120 81 24 250 176 65 117 233 57 179 107 47 243 63 171 98 186 12 148 223 127 54 133 236 9 30 207 66 228 135 6 214 128 23 140 230 89 36 166 204 91 43 182 134 97 157 33 190 102 151 68 251 111 45 175 242 104 13 221 137 108 199 20 247 130 83 233 28 196 55 211 157 74 21 197 152 75 187 22 86 173 78 215 9 125 177 92 170 3 106 217 142 86 51 255 64 209 219 114 46 168 110 204 44 239 76 144 247 38 113 232 174 27 124 159 58 238 139 30 254 70 154 20 188 53 94 171 201 6 102 146 222 10 151 3 193 123 57 190 100 222 85 207 136 29 71 161 212 81 50 192 105 177 80 228 148 7 166 47 178 13 225 116 244 130 33 237 170 98 250 65 203 25 107 210 62 235 111 151 77 184 18 86 196 112 3 155 18 162 51 143 242 72 175 120 27 253 49 105 220 165 54 143 226 84 172 89 233 121 39 191 16 144 212 88 189 137 36 120 250 23 94 185 56 215 6 186 93 136 247 83 44 171 4 240 96 199 76 153 210 29 145 110 158 78 224 32 103 217 157 73 202 61 174 8 182 65 127 162 227 44 255 23 149 118 194 10 126 234 38 142 114 235 50 219 15 248 87 166 99 198 59 237 70 181 55 146 100 226 26 150 86 167 121 70 8 208 36 115 176 2 165 92 245 22 187 82 204 107 245 31 213 144 205 124 44 226 7 129 222 27 247 55 135 180 106 61 67 174 88 141 199 63 156 99 125 192 38 34 202 149 221 24 249 37 115 240 52 197 9 145 218 122 4 243 51 183 138 103 176 22 168 75 231 91 28 236 136 46 200 96 5 214 69 224 119 206 39 133 188 68 179 90 31 228 164 58 186 94 15 151 106 253 59 162 21 193 133 67 126 235 41 132 244 71 171 13 217 116 209 81 168 246 25 100 155 210 34 94 53 182 140 47 97 248 90 45 142 203 8 82 160 117 238 92 27 229 143 5 193 114 184 62 251 128 224 1 79 198 114 164 59 200 11 225 35 121 170 48 95 178 135 42 219 18 238 122 128 93 139 233 21 150 215 67 243 109 148 83 173 43 173 56 204 74 195 113 32 192 14 181 35 255 94 132 78 242 15 159 54 248 141 61 169 77 201 136 8 216 153 41 188 104 178 11 91 234 100 218 52 105 194 71 213 123 64 208 79 223 164 39 152 23 161 229 11 147 50 165 231 18 145 47 118 206 74 246 123 69 180 110 245 32 131 89 253 101 175 12 189 134 42 210 4 241 147 84 197 156 30 211 66 240 56 102 177 89 163 53 99 225 4 73 190 123 159 35 139 223 21 252 66 187 43 168 117 239 112 17 229 87 183 60 198 108 144 16 241 68 203 48 182 78 130 216 1 127 154 34 234 124 119 143 28 160 95 249 43 149 105 243 69 170 76 213 59 212 103 232 6 138 207 26 193 48 209 9 186 41 251 19 174 85 202 50 108 176 90 158 82 229 99 134 46 194 124 31 128 163 227 66 254 19 180 120 35 200 132 65 218 110 245 80 13 147 52 201 63 148 244 72 230 147 11 172 40 191 122 221 88 131 237 7 115 185 43 98 236 60 213 101 172 37 195 29 169 95 221 24 113 200 74 166 131 17 72 241 118 160 49 206 77 128 177 19 188 33 252 116 205 93 2 232 104 154 42 191 56 239 107 153 82 184 46 175 140 79 212 19 250 137

TABLE 2 Transfer Function Table to Convert 8-bit Values to 8-bit Values | +0 +1 +2 +3 +4 +5 +6 +7 +8 +9 +10 +11 +12 +13 +14 +15 [  0] 0 1 4 7 10 13 17 20 23 26 29 32 35 38 41 44 [  16] 47 50 53 56 59 62 64 67 70 73 75 78 81 84 86 89 [  32] 91 94 96 99 101 104 106 108 111 113 115 117 119 121 123 125 [  48] 127 129 131 133 135 137 139 140 142 144 146 147 149 150 152 153 [  64] 155 156 158 159 160 162 163 164 166 167 168 169 170 172 173 174 [  80] 175 176 177 178 179 180 181 183 184 185 186 187 188 189 190 191 [  96] 192 194 195 196 197 198 198 199 199 200 201 202 203 204 205 206 [ 112] 206 207 208 209 210 210 211 212 213 213 214 215 215 216 217 217 [ 128] 218 219 219 220 220 221 222 222 223 223 224 224 225 225 226 226 [ 144] 227 227 228 228 229 229 229 230 230 231 231 231 232 232 223 233 [ 160] 233 234 234 235 235 235 235 236 236 236 236 237 237 337 237 237 [ 176] 238 238 238 238 239 239 239 240 240 240 240 241 241 241 242 242 [ 192] 242 242 243 243 243 243 244 244 244 244 245 245 245 245 246 246 [ 208] 246 246 247 247 247 247 247 248 248 248 248 248 248 249 249 249 [ 224] 249 249 249 250 250 250 250 250 250 250 251 251 251 251 251 251 [ 240] 251 252 252 252 252 252 252 253 253 253 253 253 254 254 254 254

TABLE 3 8-bit Adjusted 32 × 32 Threshold Array-From 8-bit Unadjusted Array 250 164 225 252 175 247 111 244 162 248 211 35 234 129 222 240 192 4 39 219 241 50 235 144 226 204 233 96 236 253 159 248 47 176 250 235 198 248 127 212 250 194 253 41 247 215 133 198 238 186 243 230 101 219 236 170 224 243 75 231 179 240 246 229 250 219 70 251 144 206 254 183 249 35 254 181 218 248 121 207 251 184 20 142 232 115 217 246 29 231 221 203 233 139 238 13 243 227 86 236 248 130 169 249 234 172 239 204 106 250 73 247 167 252 220 152 246 210 108 224 244 195 7 252 155 248 235 155 239 213 231 104 192 240 47 254 199 250 73 219 242 135 229 50 206 246 189 44 250 210 247 163 234 140 237 153 228 253 169 237 199 246 229 94 252 228 137 236 64 251 216 245 13 240 209 111 245 59 251 160 167 241 150 201 246 175 242 204 91 188 248 166 251 191 231 220 131 233 249 59 222 251 4 238 146 230 250 224 129 232 29 241 96 247 180 254 236 183 243 121 232 206 254 41 178 243 198 252 217 152 249 206 240 31 104 253 217 174 249 34 214 245 222 75 236 111 244 235 194 1 225 248 212 233 41 245 225 187 239 113 251 169 248 213 176 70 253 238 156 210 250 144 238 202 125 252 153 237 195 240 35 229 249 217 139 221 251 26 36 246 158 250 223 17 247 218 67 225 250 185 101 235 245 187 117 239 222 194 232 94 242 198 230 160 253 206 121 237 252 199 38 249 223 203 244 59 253 219 178 250 81 243 140 247 232 168 62 243 230 169 241 64 181 237 173 248 26 216 238 188 236 7 201 248 226 181 133 254 155 246 248 208 123 236 205 245 119 251 170 227 253 106 207 250 237 78 215 233 146 251 224 36 254 163 231 59 241 137 190 237 244 17 198 228 249 29 230 7 242 215 144 242 197 249 180 246 223 84 164 234 247 176 131 242 200 238 175 250 229 20 235 125 238 38 249 210 252 219 94 251 236 195 253 156 245 73 202 247 152 251 206 230 172 240 53 181 243 206 7 231 53 234 133 226 252 166 237 213 78 254 129 200 248 235 139 226 249 179 237 185 250 213 108 242 47 227 247 184 241 223 101 213 253 67 190 240 142 248 17 240 189 223 253 178 119 237 10 251 192 244 170 231 247 34 227 205 233 173 249 91 199 248 232 167 245 150 237 23 239 156 217 234 250 119 254 67 229 211 243 29 217 251 106 226 208 251 131 248 44 253 183 235 196 244 147 251 163 239 140 228 197 249 75 229 181 236 213 163 23 246 101 209 238 4 235 188 252 64 241 177 245 202 252 89 247 227 245 215 119 249 20 219 249 78 253 140 222 239 201 150 159 237 184 225 244 153 232 196 216 242 106 179 245 229 249 70 253 104 209 251 135 243 26 227 248 214 10 252 133 240 224 199 238 64 236 169 250 187 31 251 223 123 244 192 13 247 162 249 212 246 108 221 241 160 238 186 39 250 235 146 240 190 44 230 201 254 147 234 52 242 221 159 217 251 113 220 252 164 237 38 248 210 246 176 236 252 73 197 231 247 96 43 137 239 225 125 194 253 186 121 226 245 23 177 233 210 251 188 78 250 226 13 242 208 240 152 253 218 249 1 174 244 208 235 147 244 32 249 99 213 236 127 191 238 222 115 248 53 251 214 218 189 224 250 62 229 248 159 252 204 229 178 237 117 237 142 245 168 243 207 91 242 41 239 99 254 190 220 173 252 44 233 139 253 225 150 236 172 244 223 23 248 231 113 241 199 238 32 187 251 197 248 135 200 243 164 247 215 155 246 174 249 235 108 230 67 234 250 32 228 149 235 250 53 227 125 211 246 168 252 215 162 239 205 252 91 220 185 254 198 237 35 241 222 115 247 10 252 228 179 243 232 86 247 158 251 142 198 238 185 235 137 196 249 10 167 242 215 233 99 224 249 62 254 158 241 117 236 210 251 206 50 250 183 240 149 244 203 227 47 252 160 245 127 239 173 219 248 1 217 231 96 251 215 212 226 81 233 191 253 117 229 200 252 162 236 170 247 147 247 199 250 17 224 246 75 242 127 246 26 240 113 253 56 237 180 245 131 203 238 186 233 177 250 196 222 123 243 215 89 218 235 250 158 254 56 239 213 99 244 220 156 248 205 252 175 38 228 135 244 153 229 252 166 250 228 32 237 111 242 214 249 184 220 251 20 209 240 117 195 251 149 247 198 237 104 243 84 236 191 249 70 207 244 168 235 220 50 166 252 211 233 129 246 172 218 238 56 241 94 254 210 245 189 4 250 199 231 115 242 142 251 202 231 177 240 123 237 225 174 247 56 253 223

To provide a specific example of how the Transfer Function Table is used, one should inspect the bottom left-hand array element of TABLE #1. As can be seen from this inspection, the numeric value is equal to “8.” Now one is to inspect TABLE #2 for the numeric value 8. This value is found along the top row at the ninth position from the left, and the value found at that position is the number “23.” In other words, the unadjusted value of 8 is to be adjusted (or corrected) by replacing that “8” with the value “23.” Now one should inspect TABLE #3 at the bottom left-hand array element position, and it will be seen that the numeric value “23” is located at that position.

Since the example of TABLES #1-3 used 8-bit precision throughout, many numeric values are missing from the adjusted output array of TABLE #3. This is particularly true for the lighter shades, since the human eye can perceive more fine differences in shading in the lighter shades than can be produced by the 8-bit resolution of these tables. This phenomenon is more clearly illustrated in the histogram of threshold values provided on FIG. 9. As can be seen, there are many threshold values along the left portion of this chart (along the gray scale axis) that have no numeric values associated. In other words, the number of occurrences within the adjusted 32×32 array is equal to zero (0) for many of the threshold values having values less than one hundred. It may be true that 8-bit adjusted arrays have been derived in the past from 8-bit unadjusted arrays, mainly stemming from operations performed at the factory of printer manufacturers. However, the prior printers typically store those adjusted threshold arrays in the printer's ROM, and since several different arrays are required to compensate for various types of print media and various colors that can be output by a color printer, these corrected or adjusted threshold arrays take a significant amount of memory space in the printer's ROM. One of the primary advantages of the present invention is to minimize the amount of ROM required to store the original unadjusted threshold arrays, as well as the Transfer Function Tables. This will be illustrated in an example, hereinbelow.

TABLE 4 10-bit Unadjusted 32 × 32 Threshold Array 924 283 564 972 320 859 156 798 273 877 473 45 644 194 540 743 385 6 122 516 759 54 651 225 567 436 633 133 683 1007 268 867 62 321 925 657 405 865 192 475 909 386 1000 53 847 499 201 408 719 359 782 607 140 517 577 304 553 787 103 622 334 742 230 600 927 520 92 955 228 448 1020 347 892 46 1012 344 511 884 178 453 960 351 25 769 623 154 509 832 39 520 531 431 537 213 714 16 790 581 118 667 372 340 238 898 646 305 722 437 150 930 99 853 290 980 528 245 830 466 153 556 792 393 11 967 254 883 661 255 726 484 517 144 383 737 60 1010 417 911 97 515 760 207 596 65 442 925 373 57 921 463 860 277 647 218 689 251 584 996 299 692 413 838 502 131 985 586 211 675 84 962 500 308 19 732 460 159 322 76 946 271 291 749 242 422 835 317 767 435 127 368 882 286 939 379 613 525 197 532 902 77 542 944 4 716 231 610 916 552 193 525 36 756 135 346 338 1016 670 348 781 179 629 449 1017 52 330 784 404 986 504 248 908 344 735 111 147 999 505 313 896 113 487 813 536 101 668 157 304 632 387 3 561 874 475 639 54 820 565 362 727 161 952 297 862 481 324 94 1001 705 259 468 936 226 718 427 188 974 249 685 390 745 44 594 893 508 216 534 945 32 119 831 264 915 547 21 858 513 88 560 923 356 142 664 316 363 168 731 535 389 627 130 753 406 606 272 1005 445 177 702 971 414 51 886 548 430 796 79 989 519 332 933 109 785 219 844 630 293 81 789 608 300 751 36 341 693 310 863 35 498 708 367 679 3 424 370 569 342 202 1022 253 939 880 457 181 674 441 817 174 959 301 578 990 151 451 931 698 107 497 636 232 956 557 117 1019 280 618 78 754 209 374 587 306 23 407 583 390 38 503 10 775 491 227 762 398 889 339 328 543 115 284 643 850 322 198 770 419 709 319 913 591 26 663 186 712 50 903 465 978 522 129 951 680 391 1003 258 812 96 428 841 247 943 443 604 308 736 58 345 786 447 9 621 70 649 204 574 970 287 700 479 105 1013 195 421 881 662 215 571 906 333 690 354 934 483 154 765 51 577 848 350 757 550 141 480 1002 90 375 740 222 861 20 747 370 546 991 331 175 684 12 963 382 799 302 612 840 114 580 440 634 312 897 124 410 871 628 289 311 244 697 30 730 260 507 650 912 173 1023 89 595 472 779 37 502 937 148 568 454 941 199 879 56 994 346 665 397 795 234 950 279 724 217 585 401 905 102 599 343 669 485 278 31 834 143 461 706 5 559 366 983 85 748 326 818 426 981 121 855 576 823 494 176 907 27 518 391 104 992 220 539 721 425 241 265 696 353 563 797 252 624 396 501 768 149 335 810 597 888 93 997 146 458 964 208 788 33 579 375 489 13 976 203 733 551 412 707 37 571 298 926 363 110 948 544 184 903 384 17 857 276 900 474 327 155 532 752 270 717 360 123 314 556 229 746 376 59 605 423 1015 235 548 80 774 533 266 503 942 163 530 979 282 586 48 869 464 836 323 672 987 98 400 619 842 132 776 212 729 559 187 388 995 358 180 570 814 29 327 540 467 954 369 106 917 572 18 772 456 738 246 1006 512 399 1 315 794 455 555 236 801 43 901 137 482 681 190 380 715 541 156 378 69 953 488 512 372 555 935 83 501 364 267 975 434 592 329 695 171 694 224 819 296 783 450 125 771 55 725 136 1021 377 527 311 969 58 635 214 993 566 243 676 306 805 545 28 868 611 150 753 416 713 41 364 940 399 373 206 418 778 281 852 493 256 833 314 394 658 152 509 91 645 919 40 590 240 560 928 71 582 185 471 324 295 988 492 275 723 438 984 125 524 357 1014 403 703 47 758 537 167 343 15 965 589 336 791 625 116 845 262 961 223 409 710 355 653 210 395 904 14 292 761 490 538 139 558 895 82 1009 261 750 169 573 469 957 446 57 920 349 734 237 793 433 575 63 966 269 315 191 728 309 521 366 2 506 515 134 938 495 477 673 108 641 378 998 172 398 420 973 274 582 303 854 233 851 411 932 22 554 829 100 773 189 837 34 744 162 1008 74 699 337 309 200 432 704 361 531 325 918 394 538 182 777 496 120 514 654 910 263 1018 75 720 478 138 800 529 257 875 439 982 318 49 587 205 807 250 593 977 285 922 588 42 691 158 766 486 385 352 523 949 24 459 741 170 392 947 239 856 402 588 145 780 112 678 381 887 95 452 802 294 666 526 56 288 968 470 642 196 826 307 510 711 72 755 128 1011 462 821 371 7 929 415 515 165 764 221 958 429 614 328 739 183 701 562 316 349 73 1004 549

TABLE 5 Transfer Function Table to Convert 10-bit Values to 8-bit Values | +0 +1 +2 +3 +4 +5 +6 +7 +8 +9 +10 +11 +12 +13 +14 +15 +16 +17 [  0] 0 1 2 3 3 4 5 6 6 7 8 9 10 10 11 12 13 13 [  32] 25 26 26 27 28 29 30 30 31 32 33 33 34 35 36 36 37 38 [  64] 49 50 50 51 52 53 53 54 55 56 56 57 58 58 59 60 61 61 [  96] 72 73 73 74 75 75 76 77 77 78 79 79 80 81 81 82 83 83 [ 128] 93 94 94 95 95 96 97 97 98 99 100 100 101 101 102 102 103 103 [ 160] 112 113 113 114 114 115 115 116 116 117 117 118 118 119 120 120 121 121 [ 192] 129 129 130 130 131 131 132 132 133 133 133 134 134 135 135 136 136 137 [ 224] 143 144 144 144 145 145 146 146 146 147 147 148 148 148 149 149 150 150 [ 256] 156 156 156 157 157 157 158 158 158 159 159 159 160 160 160 161 161 161 [ 288] 166 167 167 167 167 168 168 168 169 169 169 170 170 170 170 171 171 171 [ 320] 176 176 176 176 177 177 177 177 178 178 178 179 179 179 179 180 180 180 [ 352] 184 184 185 185 185 185 186 186 186 187 187 187 187 188 188 188 188 189 [ 384] 193 193 193 194 194 194 195 195 195 196 196 196 196 197 197 197 198 198 [ 416] 201 201 201 201 201 202 202 202 202 203 203 203 203 203 204 204 204 204 [ 448] 207 208 208 208 208 208 209 209 209 209 209 210 210 210 210 210 210 211 [ 480] 213 214 214 214 214 214 214 215 215 215 215 215 215 216 216 216 216 216 [ 512] 219 219 219 219 219 219 220 220 220 220 220 220 220 221 221 221 221 221 [ 544] 223 223 224 224 224 224 224 224 224 224 225 225 225 225 225 225 225 225 [ 576] 227 227 227 228 228 228 228 228 228 228 228 228 229 229 229 229 229 229 [ 608] 231 231 231 231 231 231 231 231 232 232 232 232 232 232 232 232 232 232 [ 640] 234 234 234 234 235 235 235 235 235 235 235 235 235 235 235 235 235 236 [ 672] 236 236 236 236 237 237 237 237 237 237 237 237 237 237 237 237 237 237 [ 704] 238 238 238 238 238 239 239 239 239 239 239 239 239 239 239 239 239 239 [ 736] 240 240 241 241 241 241 241 241 241 241 241 241 241 241 241 241 242 242 [ 768] 243 243 243 243 243 243 243 243 243 243 243 243 243 243 244 244 244 244 [ 800] 245 245 245 245 245 245 245 245 245 245 245 245 245 245 245 246 246 246 [ 832] 246 247 247 247 247 247 247 247 247 247 247 247 247 247 247 247 247 247 [ 864] 248 248 248 248 248 248 248 248 248 248 248 249 249 249 249 249 249 249 [ 896] 249 249 249 249 250 250 250 250 250 250 250 250 250 250 250 250 250 250 [ 928] 251 251 251 251 251 251 251 251 251 251 251 251 251 251 251 251 251 251 [ 960] 252 252 252 252 252 252 252 252 252 252 252 252 252 252 252 252 252 252 [ 992] 253 253 253 253 253 253 253 253 253 254 254 254 254 254 254 254 254 254 | +18 +19 +20 +21 +22 +23 +24 +25 +26 +27 +28 +29 +30 +31 [  0] 14 15 16 16 17 18 19 20 20 21 22 23 23 24 [  32] 39 39 40 41 42 42 43 44 45 45 46 47 48 48 [  64] 62 63 63 64 65 66 66 67 68 68 69 70 70 71 [  96] 84 85 85 86 87 87 88 89 89 90 90 91 92 92 [ 128] 104 104 105 106 106 107 107 108 109 109 110 110 111 111 [ 160] 122 122 123 123 124 124 125 125 126 126 127 127 128 128 [ 192] 137 138 138 138 139 139 140 140 141 141 142 142 142 143 [ 224] 150 151 151 152 152 152 153 153 153 154 154 155 155 155 [ 256] 162 162 162 163 163 163 164 164 164 165 165 165 166 166 [ 288] 172 172 172 173 173 173 173 174 174 174 174 175 175 175 [ 320] 180 181 181 181 181 182 182 182 183 183 183 183 184 184 [ 352] 189 189 190 190 190 190 191 191 191 191 192 192 192 193 [ 384] 198 198 198 198 198 199 199 199 199 199 200 200 200 200 [ 416] 205 205 205 205 205 206 206 206 206 206 207 207 207 207 [ 448] 211 211 211 211 212 212 212 212 212 213 213 213 213 213 [ 480] 216 217 217 217 217 217 217 218 218 218 218 218 218 219 [ 512] 221 221 222 222 222 222 222 222 222 223 223 223 223 223 [ 544] 226 226 226 226 226 226 226 226 227 227 227 227 227 227 [ 576] 229 229 229 230 230 230 230 230 230 230 230 230 231 231 [ 608] 232 233 233 233 233 233 233 233 233 233 233 233 234 234 [ 640] 236 236 236 236 236 236 236 236 236 236 236 236 236 236 [ 672] 237 237 237 238 238 238 238 238 238 238 238 238 238 238 [ 704] 239 240 240 240 240 240 240 240 240 240 240 240 240 240 [ 736] 242 242 242 242 242 242 242 242 242 242 242 242 242 243 [ 768] 244 244 244 244 244 244 244 244 244 244 244 244 245 245 [ 800] 246 246 246 246 246 246 246 246 246 246 246 246 246 246 [ 832] 247 247 247 248 248 248 248 248 248 248 248 248 248 248 [ 864] 249 249 249 249 249 249 249 249 249 249 249 249 249 249 [ 896] 250 250 250 250 250 250 250 250 250 250 250 250 250 251 [ 928] 251 251 251 251 251 251 251 251 251 252 252 252 252 252 [ 960] 252 252 253 253 253 253 253 253 253 253 253 253 253 253 [ 992] 254 254 254 254 254 254 254 294 255 256 255 255 255 255

TABLE 6 8-bit Adjusted 32 × 32 Threshold Array-From 10-bit Unadjusted Array 250 165 226 252 176 248 110 245 161 249 212 35 235 130 223 241 193 5 39 219 242 49 235 144 226 205 233 96 237 254 160 248 48 176 250 236 198 248 129 213 250 193 253 41 247 217 133 199 239 186 244 231 100 219 237 171 224 244 77 232 179 241 146 230 251 220 69 252 145 207 255 183 249 36 254 182 219 249 122 208 252 184 20 243 232 114 218 246 30 232 221 204 233 138 239 13 244 228 87 236 248 181 149 249 235 171 239 205 106 251 74 248 167 253 221 152 246 211 108 225 244 196 9 252 155 249 236 155 240 214 232 103 193 240 46 254 201 250 73 219 242 136 229 50 206 246 190 44 250 210 248 163 235 141 237 154 228 253 170 237 200 247 230 95 253 228 138 236 63 252 217 245 15 240 210 111 246 58 251 161 157 241 150 202 247 175 243 205 92 188 249 166 251 191 231 221 131 233 250 58 223 251 3 239 146 231 250 224 129 232 28 242 97 247 180 254 236 183 243 122 233 208 254 40 178 244 198 253 217 153 250 207 240 82 104 253 218 174 249 83 215 245 222 75 236 110 245 235 194 3 225 248 213 234 42 246 226 187 240 113 251 169 248 214 177 70 254 238 157 211 251 144 239 203 127 252 153 237 195 241 34 229 249 218 140 222 251 25 87 246 158 250 224 16 248 219 66 225 250 185 102 236 246 187 116 240 222 194 233 94 242 198 231 161 254 207 121 238 252 200 39 249 224 204 244 60 253 220 179 251 81 244 141 247 233 168 61 244 231 170 241 65 181 238 173 248 27 216 238 188 237 6 202 248 226 181 133 255 155 247 249 209 123 236 206 246 120 252 170 227 253 107 208 251 238 79 216 233 146 252 225 86 255 164 232 59 242 137 190 237 245 18 199 228 249 30 230 8 243 215 144 242 197 249 181 246 223 85 165 234 247 176 132 243 201 239 175 250 229 20 236 126 239 39 250 211 252 220 94 251 237 195 254 156 245 72 203 247 152 251 206 230 172 240 52 182 244 207 7 232 53 235 134 227 252 166 238 213 78 254 130 202 249 236 139 227 250 179 237 185 251 214 109 242 47 227 247 184 242 224 101 213 254 68 190 241 142 248 16 241 189 224 253 179 120 237 10 252 192 245 170 231 247 84 228 206 233 173 249 90 199 248 233 167 245 151 238 23 240 157 218 235 250 119 255 67 229 212 243 29 217 251 105 226 209 251 132 249 43 253 183 236 197 244 147 251 163 240 140 228 198 250 76 230 182 236 214 163 24 247 102 210 238 4 236 188 253 64 241 177 246 203 253 89 248 227 246 216 121 250 21 220 249 77 253 142 223 239 203 150 159 238 184 226 244 154 232 196 217 243 106 180 245 230 249 70 253 104 209 252 136 244 26 228 249 215 10 252 134 240 224 200 238 66 236 169 250 188 81 251 223 125 245 193 13 248 162 250 212 246 109 222 242 160 239 186 90 250 235 145 241 191 45 230 202 254 148 235 61 243 222 159 217 251 114 221 252 164 237 37 248 210 247 176 236 253 73 198 232 247 95 243 138 240 225 126 194 253 186 123 227 245 23 177 234 211 251 189 79 250 227 14 243 209 241 152 254 219 249 1 174 244 209 235 148 245 33 250 99 214 237 128 192 239 223 115 249 53 251 215 219 190 225 251 63 230 248 159 252 205 229 178 238 118 238 143 246 169 244 208 92 243 42 240 98 255 191 221 173 252 45 233 139 253 226 151 237 172 245 223 22 248 231 112 242 201 239 32 187 251 197 248 135 201 243 164 247 216 156 247 174 249 236 107 231 68 235 250 31 229 150 236 251 54 228 125 212 246 168 253 215 162 240 205 253 91 220 185 254 198 238 36 242 222 116 247 12 252 229 180 244 232 85 247 158 252 143 199 239 185 235 137 196 250 11 167 242 215 234 100 225 249 62 254 157 241 117 236 211 252 207 51 250 183 240 148 244 204 227 48 252 160 246 128 240 172 220 248 2 218 231 97 251 216 213 227 80 234 191 253 118 230 201 252 162 237 171 248 147 247 199 251 17 225 246 75 243 127 247 26 241 113 254 56 238 180 245 133 204 238 187 233 177 250 196 222 124 243 216 88 219 235 250 158 255 57 239 213 99 245 221 156 249 206 253 175 38 228 135 245 153 229 252 165 250 229 33 237 111 242 214 249 184 220 251 19 210 241 117 195 251 149 248 198 237 103 243 83 237 192 249 71 208 245 168 236 221 50 166 252 212 234 131 246 172 218 239 55 242 93 254 210 246 189 6 251 200 232 115 242 142 252 203 231 178 241 124 238 226 174 247 56 254 224

TABLES #4-6 provide an example of a preferred methodology to correct for improved visual perception an unadjusted 10-bit stochastic threshold array and to convert that information to an adjusted 8-bit threshold array. TABLE #4 illustrates a 32×32 stochastic threshold array, in which each of the array elements has a 10-bit value in the range of 1-1023. As in the previous example, the numeric value zero (0) is not used in any of these array elements. Since there are 1024 array locations, and 1024 (or more precisely 1023) possible numeric values, there should be a single array element location for each particular numeric value in this range. (Obviously, one of the numbers must be represented twice within this array.) Since this array is unadjusted, if a printer were to take this array's values and directly use that for its gray level halftoning, a curve such as the one at 102 in FIG. 2 would likely result as the printed response of light intensity versus gray level in which the gray levels range from 1-1023.

TABLE #5 is a Transfer Function Table (TFT) that is used to convert the 10-bit values of an unadjusted array (i.e., the array of TABLE #4) to adjusted 8-bit numeric values. TABLE #6 is the resulting adjusted threshold array, which uses 8-bit precision having values ranging between 1-255. TABLE #5 starts with values in the range of 1-1023, and therefore, requires a 32×32 array for storing this Transfer Function Table. The final adjusted 8-bit array of TABLE #6 is also 32×32 in size, however, the numeric values of the array elements of TABLE #6 are only 8-bit values ranging between 1-255.

As can be seen by an inspection of TABLE #5, there are no skipped or missing numeric values in the range of 0-255 among the array elements in TABLE #5. There are, of course, duplicate numeric values for more than one array location in many cases, especially in the larger values in the darker gray levels. A histogram of output values for the final 8-bit adjusted array depicted in TABLE #6 is illustrated on FIG. 10. As can be seen by viewing FIG. 10, every threshold value has at least one occurrence for this 32×32 array.

TABLES #4-6 are used in a similar manner as were the tables in the 8-bit example of TABLES #1-3. For example, in TABLE #4, the numeric value for the lower left-hand corner array element is equal to “31.” This value “31” corresponds to the 10-bit range of 0-1023. The Transfer Function Table depicted in TABLE #5 shows this array location in the upper right-hand corner of this TABLE #5. As can be seen by inspecting the TFT on TABLE #5, the converted, adjusted numeric value for this array location is equal to “24.”

The final result is illustrated in TABLE #6 by inspecting the lower left-hand corner array element location, which has a numeric value of “24.” Thus, the 10-bit unadjusted value of “31” becomes an adjusted 8-bit value of “24,” utilizing the principles of the present invention and the Transfer Function Table conversion methodology. One key aspect of this methodology is the use of a numeric precision in the unadjusted array that is greater than the numeric precision in the final adjusted array. In the example of TABLES #4-6, herein, the precision of the unadjusted array was 10-bits, which provides a numeric range between zero (0) and 1023. At the same time, the precision of the final adjusted array was 8-bits, ranging numerically between zero (0) and 255. This not only allows a more uniform histogram of threshold values (as illustrated in FIG. 10), but also allows for much finer gray level resolution that more perfectly emulates the human perceptual levels of increasing lightness or darkness for any given color. This last concept is illustrated in TABLE #7.

TABLE 7 Number of Number of Number of Perceptual Normalized Dots 8-bit Dots 10-bit Dots 8-bit Level 0-255 Level Unadjusted Unadjusted Adjusted 0 0 0 0 0 1 0.25 16 2 0.5 32 3 0.75 48 4 1 64 64 16 5 1.25 80 6 1.5 96 7 1.75 112 8 2 128 128 32 9 2.25 144 10 2.5 160 11 2.75 176 12 3 192 192 48 13 3.25 208 14 3.5 224 15 3.75 240 16 4 256 256 48 17 4.25 272 18 4.5 288 19 4.75 304 20 5 320 320 64 21 5.25 336 22 5.5 352 23 5.75 368 24 6 384 384 80 25 6.25 400 26 6.5 416 27 6.75 432 28 7 448 448 96 . . . . . . . . . . . . . . . 1015 253.75 16,240 1016 254 16,256 16,256 16,320 1017 254.25 16,272 1018 254.5 16,288 1019 254.75 16,304 1020 255 16,320 16,320 16,320 1021 255.25 16,336 1022 255.5 16,352 1023 255.75 16,368

In TABLE #7, the left-hand column represents a theoretical perceptual level of lightness versus darkness, ranging between the values of 0-1023. Since the human eye cannot actually discern anywhere close to that number of perceptual levels, the next column to the right on TABLE #7 provides a “normalized” perceptual level in the range of 0-255. This is achieved by merely dividing by four the numeric values of the perceptual level in the left-hand column. For example, the perceptual level 9 becomes 2.25 on the normalized perceptual level column.

Even this normalized perceptual level column is not entirely accurate with respect to possible human perceptual level sensitivities. In general, human beings can perceive only approximately one hundred different levels of light intensity or darkness, and that is one reason that the CIELAB L* scale ranges between zero (0) and one hundred (100). On the normalized 0-255 level column of TABLE #7, these levels run from zero (0) through 255, which really more closely approximates an 8-bit gray scale darkness or lightness level. Of course, the key idea here is to use an adjusted gray scale level so that the linearly increasing numeric values along the normalized level column will approximate the perceptual level sensitivity of the human eye.

It will be understood that the tables provided in this document (i.e., TABLES #1-6) were provided as 32×32 threshold arrays, which had a total of 1024 possible array element locations. This is not necessarily a preferred array size for a tiling-type threshold array to be used in an actual printer. In fact, it is preferred to use a much larger array, one having a threshold array that is 128×128 elements in size. This provides a total number of elements or pixel locations of 16,384, which is equal to 2¹⁴. If 8-bit element values are used to make up this 128×128 array in memory, then a total of 16,384 bytes will be required to represent the entire array. As with other prior art halftoning techniques, it is preferred to use the threshold array in a tiling manner over the entire bitmap that is to be printed.

The values in TABLE #7 in the three right-hand columns refer to the number of dots that will have a particular numeric value within a threshold array that is 128×128 in size. The middle column refers to the number of dots that would be used in each position for an 8-bit unadjusted stochastic threshold array. For example, using the normalized scale, a value of three (3) means that there will be 192 dots that will be printed for that particular gray level of intensity. Of course, this unadjusted scale would ultimately lead to a printing response similar to that depicted by the curve 102 in FIG. 2. Each gray level increase adds 64 more dots to the next threshold array level.

The fourth column from the left shows the number of dots that would be printed for each gray level using a 10-bit unadjusted stochastic threshold array. Since there is greater precision to be utilized, there will only be an increase of sixteen additional dots per level change, although on the normalized level scale of the second column, each integer increase would also provide a 64-dot level increase as one increases the normalized gray level, from integer value to the next integer value.

This greater precision available in a 10-bit unadjusted array can be used to advantage by applying the principles of the present invention. Since the 10-bit unadjusted array has one part out of 1024 precision, the Transfer Function Table concept can be used to map the lighter gray level values to provide an adjusted 8-bit array that will essentially have the same precision of the original 10-bit unadjusted array. In other words, the final resulting 8-bit array (which would normally only have a precision of one part of 256) can effectively have a much better precision of one part out of 1024. This is demonstrated by inspecting the fifth column (i.e., the right-hand column) of TABLE #7.

For example, if the normalized level of three (3) is to be printed, using the adjusted threshold array will result in forty-eight (48) dots being printed instead of the unadjusted value of 192. This will obviously provide a much lighter shading for the preferred printer's halftoning technique, but this is precisely what is needed to correct the non-linear printer response, such as the curve 102. The resulting perceptual response of the right-hand adjusted column is much closer to the straight line 100 on FIG. 2. In fact, the adjusted response will be precisely along line 100, at least within the precision of the 10-bits that were provided in the initial unadjusted threshold array. Of course, that precision is only one part out of 1024, which means there is about a 0.1% error as a maximum deviation from the preferred straight line 100, as would be seen on a graph of L* versus gray level (similar to FIG. 2). Naturally, if the unadjusted threshold array were to have a greater precision (such as 11-bit or 12-bit precision), then the final output of the 8-bit adjusted array could have even finer differentiations between numbers of dots being printed at the normalized levels, and could have even less error as compared to the ideal target response along line 100 of FIG. 2, for example.

This concept has been thoroughly tested by the inventors, and the 10-bit precision available using the exact teachings of the present invention provide a very close match to the perfect target response for a printer's output, and any small fractional percentage error would be essentially indiscernible by the normal human eye.

The middle column of TABLE #7 provides a result that is essentially equivalent to the 32×32 unadjusted 8-bit, array illustrated in TABLE #1, with the understanding that the 32×32 array only has a total of 1024 possible array element locations, whereas the number of dots depicted on TABLE #7 represent a 128×128 array having a total possible number of array elements of 16,384. In a similar manner, the fourth column from the left on TABLE #7 provides a result that is essentially equivalent to providing a 10-bit unadjusted array such as that depicted in TABLE #4 (again with the same understanding that the number of dots is different for the smaller 32×32 threshold array of TABLE #4). Finally, the number of dots of the 8-bit adjusted column of TABLE #7 along the right-hand column provides a result that is essentially equivalent to the adjusted array illustrated in TABLE #6, which exhibits the characteristics of the histogram depicted on FIG. 10. As discussed above, this histogram of threshold values illustrates clearly that a more uniform and linear result is provided by using a 10-bit unadjusted stochastic threshold array as the starting point as compared to merely using an 8-bit unadjusted stochastic threshold array. Since all of the threshold values are covered by the array of TABLE #6, it can be seen that a precision greater than 10 bits may not provide an important enough improvement to warrant the extra complexity and memory location requirements that would need to be provided to use a greater precision starting array.

Not only do the teachings of the present invention provide a much more ideal response for the printer's printed output as compared to the ideal perceptual level, but additionally a much smaller amount of memory space is utilized as compared to conventional adjusted arrays that are stored in a printer's ROM. It will be understood that, even a printer that may store its adjusted threshold arrays in a memory device other than ROM (e.g., such as a hard disk drive) will still require these adjusted threshold arrays to ultimately be downloaded into the printer's RAM. Thus, the printer must spend processing time and real time to upload information from the hard disk drive (in this example) into RAM, which greatly increases its processing time. Such a printer will either be very inefficient if this processing time must occur at the beginning of each print job, or such a printer must download into its RAM all of the needed adjusted threshold arrays upon initialization, which means that a large portion of its RAM must be allocated all of the time just to hold these adjusted threshold arrays. To the contrary, the present invention only stores the adjusted threshold arrays in RAM at run time for each individual print job, and only stores those adjusted threshold arrays for the precise type of print media and the type of colors that are to be printed for that particular print job.

As an example, if a color printer were to store a set of 8-bit adjusted threshold arrays for a color printer having four different colors, each of those colors would require 16 Kbytes per threshold array. These are the four ordinary colors that, for example, would include cyan, magenta, yellow, and black. However, certain ink jet color printers can also support two further pigments known as “dilute cyan” and “dilute magenta.” Therefore, an additional threshold array is required for each dilute colorant. Furthermore, when the dilute colorants are used, a different formulation of black pigment is also used. Therefore, in addition to the four adjusted threshold arrays needed for the ordinary 4-color printing, an additional three adjusted threshold arrays are required if the dilute printing is also to be supported by a particular printer. Finally, if dilute ink printing is to be supported, there will also be required an additional threshold array for ordinary cyan and ordinary magenta colors when using the dilute ink cartridges. This now requires a total of nine different adjusted threshold arrays for any given single type of paper.

Since a printer will optimally support at least three different paper types, there will be a total of twenty-seven different unique combinations of paper versus ink type for which a unique threshold array must be generated and stored. Since each threshold array is 16K, and the total number of threshold arrays to be stored is equal to twenty-seven, the total number of bytes in memory required to store this information will be 432 Kbytes, which typically will take up space in the printer's ROM. As can be seen, this is almost one-half Meg of memory locations merely to hold the various threshold arrays. Of course, if true Read Only Memory is utilized, then these arrays will not be required to be downloaded into RAM for image processing by the printer when it is time to halftone an incoming print job. On the other hand, if a hard disk drive, for example, is used to store these arrays, then processing time and real time to access the hard disk drive will be required to download the data from the hard disk, and RAM space must be then allocated to hold the appropriate arrays.

When using the principles of the present invention, the example of the 10-bit unadjusted stochastic threshold array as the starting point is implemented using much less memory space. For example, a single set of unadjusted 10-bit threshold arrays are to be stored in ROM, one for each of the four normal color planes. Each 10-bit threshold array requires 20 Kbytes, which is 25% larger than a set of unadjusted 8-bit arrays that have been used in conventional printers in the past. In other words, if four threshold arrays were stored for the four ordinary colors in 8-bit precision, then each array would require 16 Kbytes, leading to a total of 64 Kbytes of ROM space required.

However, the 10-bit unadjusted threshold arrays are the preferred embodiment, and thus 80 Kbytes of ROM are required to hold those four threshold arrays. The Transfer Function Tables are also stored in ROM, and each Transfer Function Table requires 1 Kbyte of memory space in ROM. Since there are twenty-seven different combinations of colors and paper styles to be supported, there optimally would be twenty-seven different TFT's stored in ROM. This added to the 80 Kbytes of ROM holding the initial 10-bit threshold arrays provides a total requirement of 107 Kbytes of ROM space in the printer. Of course, it is quite obvious that this is much smaller than the conventional printer's requirements that would require 432 Kbytes of ROM space to hold 8-bit adjusted arrays for the same twenty-seven combinations.

It will be understood that all of the memory size examples provided hereinabove assume that the data will be packed, as according to the principles of the present invention that were described hereinabove. Obviously, to best utilize the packed data, it must first be unpacked, preferably according to the principles described hereinabove with respect to the flow charts provided on either FIG. 6, or FIG. 8. In the preferred embodiment discussed above, when it is time (i.e., at run time) to print an incoming print job, the stochastic threshold arrays stored in ROM for the four different ordinary colors must be utilized to create the necessary adjusted 8-bit threshold arrays for a particular type of print media.

It will further be understood that the unadjusted threshold array data and the Transfer Function Table data could be stored in a memory device other that ROM, such as a hard disk drive. Moreover, the principles of the present invention can be applied to any type of printer, including laser printers, ink jet printers, thermal transfer printers, copiers having electrophotographic print engines, and so on (any of which could use either ROM or a hard disk drive to store array data).

Additionally, the unadjusted threshold array data and the Transfer Function Table data could be stored in a non-volatile memory device (e.g., a hard disk drive) located on a host computer (such as the “input device” 24 on FIG. 1) and downloaded to the printer either upon the printer's initialization (by way of a request from the printer to the host, for example), or upon an unsolicited communication from the host computer. In this configuration, the printer itself would need only RAM volatile-type memory to hold this information, although in a realistic application it is likely that a printer would at least hold a default unadjusted threshold array and a default set of Transfer Function Tables within its own non-volatile memory devices.

If array data is required to print four different colors (i.e., for the ordinary colors such as cyan, magenta, yellow, and black), then four different adjusted 8-bit threshold arrays must be generated and stored in the printer's RAM, such as RAM 15 on FIG. 1. Each 8-bit threshold array requires 16 Kbytes of RAM, so to print using the four ordinary colors, a total of 64 Kbytes of RAM are required. If on the other hand six colors are to be printed (e.g., if the diluted pigments are going to be used), then a total of six adjusted 8-bit threshold arrays need to be generated and stored in RAM, which would require 96 Kbytes of RAM. Even in this worst case scenario, using the principles of the present invention a total of 203 Kbytes of memory are required (i.e., including both ROM and RAM memory requirements), which is still much less than the amount required by conventional printers that use 432 Kbytes of ROM space alone. This is, of course, quite a savings of memory resources.

The foregoing description of a preferred embodiment of the invention has been presented for purposes of illustration and description. It is not intended to be exhaustive or to limit the invention to the precise form disclosed. Obvious modifications or variations are possible in light of the above teachings. The embodiment was chosen and described in order to best illustrate the principles of the invention and its practical application to thereby enable one of ordinary skill in the art to best utilize the invention in various embodiments and with various modifications as are suited to the particular use contemplated. It is intended that the scope of the invention be defined by the claims appended hereto. 

What is claimed is:
 1. A method for generating an adjusted threshold array in an image forming apparatus, comprising: (a) providing an unadjusted threshold array; (b) providing a Transfer Function Table; (c) applying said Transfer Function Table to said unadjusted threshold array to derive an adjusted threshold array; and (d) halftoning at least one color of an input image by use of said adjusted threshold array.
 2. The method as recited in claim 1, wherein said unadjusted threshold array is generated by one of: classical screening, using cluster-dot ordered dithering; stochastic screening, using cluster-dot unordered dithering; Bayer screening, using dispersed-dot ordering dithering; and stochastic screening, using dispersed-dot unordered dithering.
 3. The method as recited in claim 1, further comprising: storing said unadjusted threshold array in a first portion of a memory circuit; storing said Transfer Function Table in a second portion of said memory circuit; and temporarily storing said adjusted threshold array in a third portion of said memory circuit.
 4. The method as recited in claim 3, wherein said image forming apparatus comprises a printer, said first portion of said memory circuit comprises read only memory (ROM), said second portion of said memory circuit comprises read only memory (ROM), and said third portion of said memory circuit comprises one of: (a) random access memory (RAM), or (b) a plurality of registers.
 5. The method as recited in claim 3, wherein said image forming apparatus comprises a printer, said first portion of said memory circuit comprises random access memory (RAM), said second portion of said memory circuit comprises random access memory (RAM), and said third portion of said memory circuit comprises one of: (a) random access memory (RAM), or (b) a plurality of registers; and further comprising: downloading said unadjusted threshold array and said Transfer Function Table from a host computer.
 6. The method as recited in claim 1, wherein said adjusted threshold array is derived at run time when said input image is received at said image forming apparatus.
 7. The method as recited in claim 6, wherein said image forming apparatus comprises a printer, and said input image comprises a print job.
 8. The method as recited in claim 7, further comprising: (a) storing said unadjusted threshold array in a first portion of a read only memory (ROM) circuit; (b) storing said Transfer Function Table in a second portion of said read only memory (ROM) circuit; and (c) temporarily storing said adjusted threshold array in a random access memory (RAM) circuit; and (d) wherein said printer derives an adjusted threshold array for only a precise printing requirement of said received print job.
 9. The method as recited in claim 8, wherein said precise printing requirement comprises a predetermined color and a predetermined type of print media.
 10. The method as recited in claim 7, further comprising: (a) storing a plurality of unadjusted threshold arrays in a first portion of a read only memory (ROM) circuit, wherein each single of said plurality of unadjusted threshold arrays represents a single color of a color printer; (b) storing a plurality of Transfer Function Tables in a second portion of said read only memory (ROM) circuit, wherein each single of said plurality of Transfer Function Tables corresponds to one of said plurality of unadjusted threshold arrays that represents a single color of said color printer; and (c) wherein a size of memory storage space required to store all of said plurality of unadjusted threshold arrays and all of said plurality of Transfer Function Tables is less than a size of memory storage space that would be required to store all of a set of adjusted threshold arrays that corresponds to all possible combinations of printable colors of said color printer and all expected print media types to be printed upon by said color printer.
 11. The method as recited in claim 6, wherein said image forming apparatus comprises a video display, and said input image comprises a video data stream.
 12. The method as recited in claim 11, wherein said video display comprises one of: a liquid crystal display (LCD), a light-emitting diode (LED) display, and a cathode ray tube (CRT) display.
 13. The method as recited in claim 1, wherein said unadjusted threshold array comprises a first plurality of individual elements each having a numeric value of a first predetermined precision, and said adjusted threshold array comprises a second plurality of individual elements each having a numeric value of a second predetermined precision.
 14. The method as recited in claim 13, wherein said first predetermined numeric precision is greater than said second predetermined numeric precision.
 15. The method as recited in claim 14, wherein said first predetermined numeric precision comprises 10-bit integer data having a range of values from 0-1023 inclusive, and said second predetermined numeric precision comprises 8-bit integer data having a range of values from 0-255 inclusive.
 16. The method as recited in claim 15, wherein said Transfer Function Table comprises a look-up table having 1024 elements, each of said elements having a numeric value within a range of 0-255 inclusive.
 17. The method as recited in claim 13, wherein said first predetermined numeric precision comprises 8-bit integer data having a range of values from 0-255 inclusive, and said second predetermined numeric precision comprises 8-bit integer data having a range of values from 0-255 inclusive.
 18. The method as recited in claim 17, wherein said Transfer Function Table comprises a look-up table having 256 elements, each of said elements having a numeric value within a range of 0-255 inclusive.
 19. The method as recited in claim 1, wherein said at least one color comprises one of: red, green, blue, cyan, magenta, yellow, black, diluted cyan, and diluted magenta.
 20. An image forming apparatus, comprising: (a) a memory circuit for storage of data, wherein an unadjusted threshold array is stored in a first portion of said memory circuit, and a Transfer Function Table is stored in a second portion of said memory circuit; (b) a communications port that is effectively connected to at least one external device and to said memory circuit, said communications port providing data from said at least one external device to said memory circuit; and (c) a processing circuit that is configured to control the flow of data between said memory circuit and said communications port, and to apply said Transfer Function Table to said unadjusted threshold array to derive an adjusted threshold array, and to halftone at least one color of an input image by use of said adjusted threshold array.
 21. The image forming apparatus as recited in claim 20, wherein said image forming apparatus comprises one of: a liquid crystal display (LCD), a light-emitting diode (LED) display, and a cathode ray tube (CRT) display, and further comprises a video viewing screen that outputs a halftoned image.
 22. The image forming apparatus as recited in claim 20, wherein said image forming apparatus comprises a printer, and further comprises a print engine that outputs a halftoned image.
 23. The image forming apparatus as recited in claim 20, wherein said unadjusted threshold array is generated by one of: classical screening, using cluster-dot ordered dithering; stochastic screening, using cluster-dot unordered dithering; Bayer screening, using dispersed-dot ordering dithering; and stochastic screening, using dispersed-dot unordered dithering.
 24. The printer as recited in claim 22, wherein: (a) a plurality of unadjusted threshold arrays are stored in a first portion of a read only memory (ROM) circuit, wherein each single of said plurality of unadjusted threshold arrays represents a single color of a color printer; (b) a plurality of Transfer Function Tables are stored in a second portion of said read only memory (ROM) circuit, wherein each single of said plurality of Transfer Function Tables corresponds to one of said plurality of unadjusted threshold arrays that represents a single color of said color printer; and (c) wherein a size of memory storage space required to store all of said plurality of unadjusted threshold arrays and all of said plurality of Transfer Function Tables is less than a size of memory storage space that would be required to store all of a set of adjusted threshold arrays that corresponds to all possible combinations of printable colors of said color printer and all expected print media types to be printed upon by said color printer.
 25. The printer as recited in claim 22, wherein said first portion of said memory circuit comprises read only memory (ROM), said second portion of said memory circuit comprises read only memory (ROM), and said third portion of said memory circuit comprises a plurality of registers.
 26. The printer as recited in claim 25, wherein said printer derives an adjusted threshold array for only a precise printing requirement of said received print job.
 27. The printer as recited in claim 26, wherein said precise printing requirement comprises a predetermined color and a predetermined type of print media.
 28. The printer as recited in claim 22, wherein the first portion of said memory circuit comprises read only memory (ROM), the second portion of said memory circuit comprises read only memory (ROM); and wherein said processing circuit is further configured to temporarily store said unadjusted threshold array in a third portion of said memory circuit which comprises random access memory (RAM).
 29. The printer as recited in claim 28, wherein said printer derives an adjusted threshold array for only a precise printing requirement of said received print job.
 30. The printer as recited in claim 29, wherein said precise printing requirement comprises a predetermined color and a predetermined type of print media.
 31. The printer as recited in claim 22, wherein said adjusted threshold array is derived at run time when a print job is received at said communications port.
 32. The printer as recited in claim 22, wherein said unadjusted threshold array comprises a first plurality of individual elements each having a numeric value of a first predetermined precision, and said adjusted threshold array comprises a second plurality of individual elements each having a numeric value of a second predetermined precision.
 33. The printer as recited in claim 32, wherein said first predetermined numeric precision is greater than said second predetermined numeric precision.
 34. The printer as recited in claim 33, wherein said first predetermined numeric precision comprises 10-bit integer data having a range of values from 0-1023 inclusive, and said second predetermined numeric precision comprises 8-bit integer data having a range of values from 0-255 inclusive.
 35. The printer as recited in claim 34, wherein said Transfer Function Table comprises a look-up table having 1024 elements, each of said elements having a numeric value within a range of 0-255 inclusive.
 36. The printer as recited in claim 32, wherein said first predetermined numeric precision comprises 8-bit integer data having a range of values from 0-255 inclusive, and said second predetermined numeric precision comprises 8-bit integer data having a range of values from 0-255 inclusive.
 37. The printer as recited in claim 36, wherein said Transfer Function Table comprises a look-up table having 256 elements, each of said elements having a numeric value within a range of 0-255 inclusive.
 38. The image forming apparatus as recited in claim 20, wherein said at least one color comprises one of: red, green, blue, cyan, magenta, yellow, black, diluted cyan, and diluted magenta.
 39. A method for halftoning an image, comprising: (a) printing a plurality of dot groups, said dot groups representing different shades of a predetermined color; (b) measuring the brightness of said plurality of dot groups, and generating an unadjusted printer response data set; (c) providing an unadjusted threshold array for said predetermined color; (d) generating a Transfer Function Table from said unadjusted printer response data set; and (e) applying said Transfer Function Table to said unadjusted threshold array to derive an adjusted threshold array that exhibits an improved perceptual printer response when used for halftoning said predetermined color.
 40. The method as recited in claim 39, wherein said unadjusted threshold array is created off-line, said Transfer Function Table is generated off-line, and said adjusted threshold array is derived at run time, when a printer receives a print job requiring halftoning.
 41. The method as recited in claim 39, wherein said unadjusted threshold array comprises a plurality of individual elements each being a 10-bit binary number; and further comprising packing said plurality of 10-bit elements and storing said packed 10-bit elements in a non-volatile memory of a printer.
 42. The method as recited in claim 41, further comprising: iteratively unpacking said plurality of 10-bit elements and temporarily storing them in a random access memory (RAM) of a printer at run time, when a print job requiring halftoning is received by said printer.
 43. The method as recited in claim 42, further comprising: iteratively accessing each of said unpacked 10-bit elements so as to apply said Transfer Function Table to said unadjusted threshold array, thereby deriving individual 8-bit elements of said adjusted threshold array.
 44. The method as recited in claim 41, further comprising: at run time, iteratively unpacking each individual of said plurality of 10-bit elements and applying said Transfer Function Table to said individual elements of said unadjusted threshold array, thereby iteratively deriving each individual 8-bit element of said adjusted threshold array for use by a printer, when a print job requiring halftoning is received by said printer.
 45. The method as recited in claim 39, wherein said unadjusted threshold array comprises a plurality of individual elements each being a multi-byte binary number; and further comprising packing said plurality of multi-byte elements and storing said packed multi-byte elements in a non-volatile memory of a printer.
 46. The method as recited in claim 45, further comprising: iteratively unpacking said plurality of multi-byte elements and temporarily storing them in a random access memory (RAM) of a printer at run time, when a print job requiring halftoning is received by said printer.
 47. The method as recited in claim 46, further comprising: iteratively accessing each of said unpacked multi-byte elements so as to apply said Transfer Function Table to said unadjusted threshold array, thereby deriving individual single-byte elements of said adjusted threshold array.
 48. The method as recited in claim 45, further comprising: at run time, iteratively unpacking each individual of said plurality of multi-byte elements and applying said Transfer Function Table to said individual elements of said unadjusted threshold array, thereby iteratively deriving each individual single-byte element of said adjusted threshold array for use by a printer, when a print job requiring halftoning is received by said printer.
 49. A method for dynamically generating an adjusted threshold array in an image forming apparatus, comprising: (a) providing an unadjusted threshold array comprising a plurality of individual array elements of “x” precision; (b) providing a Transfer Function Table; (c) applying said Transfer Function Table to said unadjusted threshold array at run time to derive an adjusted threshold array, wherein said adjusted threshold array comprises a plurality of individual array elements of “y” precision, wherein said “x” precision is greater than said “y” precision; and (d) halftoning at least one color of an input image by use of said adjusted threshold array.
 50. The method as recited in claim 49, wherein said “x” precision comprises 10-bit data, and said “y” precision comprises 8-bit data. 